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Disruption Detection for a Cognitive Digital Supply Chain Twin Using Hybrid Deep Learning
Published 25 Sep 2023 in cs.LG and cs.ET | (2309.14557v1)
Abstract: Purpose: Recent disruptive events, such as COVID-19 and Russia-Ukraine conflict, had a significant impact of global supply chains. Digital supply chain twins have been proposed in order to provide decision makers with an effective and efficient tool to mitigate disruption impact. Methods: This paper introduces a hybrid deep learning approach for disruption detection within a cognitive digital supply chain twin framework to enhance supply chain resilience. The proposed disruption detection module utilises a deep autoencoder neural network combined with a one-class support vector machine algorithm. In addition, long-short term memory neural network models are developed to identify the disrupted echelon and predict time-to-recovery from the disruption effect. Results: The obtained information from the proposed approach will help decision-makers and supply chain practitioners make appropriate decisions aiming at minimizing negative impact of disruptive events based on real-time disruption detection data. The results demonstrate the trade-off between disruption detection model sensitivity, encountered delay in disruption detection, and false alarms. This approach has seldom been used in recent literature addressing this issue.
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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb38{APACrefauthors}Eshkenazi, A. \BBOP2022\BBCP. \APACrefbtitleRussia’s Invasion of Ukraine: The Supply Chain Implications. Russia’s invasion of ukraine: The supply chain implications. \APACaddressPublisherAssociation for supply chain management. {APACrefURL} https://www.ascm.org/ascm-insights/scm-now-impact/russias-invasion-of-ukraine-the-supply-chain-implications/ \PrintBackRefs\CurrentBib Falasca \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. (\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb44{APACrefauthors}Chen, L.\BCBT \BBA Miller-Hooks, E. \BBOP2012\BBCP. \BBOQ\APACrefatitleResilience: An Indicator of Recovery Capability in Intermodal Freight Transport Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport.\BBCQ \APACjournalVolNumPagesTransportation Science461109–123. {APACrefDOI} https://doi.org/10.1287/trsc.1110.0376 \PrintBackRefs\CurrentBib Eshkenazi (\APACyear2022) \APACinsertmetastarb38{APACrefauthors}Eshkenazi, A. \BBOP2022\BBCP. \APACrefbtitleRussia’s Invasion of Ukraine: The Supply Chain Implications. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb38{APACrefauthors}Eshkenazi, A. \BBOP2022\BBCP. \APACrefbtitleRussia’s Invasion of Ukraine: The Supply Chain Implications. Russia’s invasion of ukraine: The supply chain implications. \APACaddressPublisherAssociation for supply chain management. {APACrefURL} https://www.ascm.org/ascm-insights/scm-now-impact/russias-invasion-of-ukraine-the-supply-chain-implications/ \PrintBackRefs\CurrentBib Falasca \BOthers. (\APACyear2008) \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. (\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb38{APACrefauthors}Eshkenazi, A. \BBOP2022\BBCP. \APACrefbtitleRussia’s Invasion of Ukraine: The Supply Chain Implications. Russia’s invasion of ukraine: The supply chain implications. \APACaddressPublisherAssociation for supply chain management. {APACrefURL} https://www.ascm.org/ascm-insights/scm-now-impact/russias-invasion-of-ukraine-the-supply-chain-implications/ \PrintBackRefs\CurrentBib Falasca \BOthers. (\APACyear2008) \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. 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(\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. 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(\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2012\BBCP. \BBOQ\APACrefatitleResilience: An Indicator of Recovery Capability in Intermodal Freight Transport Resilience: An Indicator of Recovery Capability in Intermodal Freight Transport.\BBCQ \APACjournalVolNumPagesTransportation Science461109–123. {APACrefDOI} https://doi.org/10.1287/trsc.1110.0376 \PrintBackRefs\CurrentBib Eshkenazi (\APACyear2022) \APACinsertmetastarb38{APACrefauthors}Eshkenazi, A. \BBOP2022\BBCP. \APACrefbtitleRussia’s Invasion of Ukraine: The Supply Chain Implications. Russia’s invasion of ukraine: The supply chain implications. \APACaddressPublisherAssociation for supply chain management. {APACrefURL} https://www.ascm.org/ascm-insights/scm-now-impact/russias-invasion-of-ukraine-the-supply-chain-implications/ \PrintBackRefs\CurrentBib Falasca \BOthers. (\APACyear2008) \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
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(\APACyear2008) \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb40{APACrefauthors}Falasca, M., Zobel, C.\BCBL Cook, D. \BBOP2008\BBCP. \BBOQ\APACrefatitleA decision support framework to assess supply chain resilience A decision support framework to assess supply chain resilience.\BBCQ \APACjournalVolNumPagesProceedings of ISCRAM 2008 - 5th International Conference on Information Systems for Crisis Response and Management596–605. {APACrefURL} https://www.scopus.com/inward/record.uri?eid=2-s2.0-84893678362&partnerID=40&md5=29f8388ca656f4441f3b8a096098ca0f \PrintBackRefs\CurrentBib Feng (\APACyear2021) \APACinsertmetastarb24{APACrefauthors}Feng, E. \BBOP2021\BBCP. \APACrefbtitleWhy China has to ration electricity and how that could affect everyone. Why China has to ration electricity and how that could affect everyone. \APACaddressPublisherNPR. {APACrefURL} https://www.npr.org/2021/10/01/1042209223/why- covid-is-affecting-chinas-power-rations \PrintBackRefs\CurrentBib Frazzon \BOthers. (\APACyear2020) \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb21{APACrefauthors}Frazzon, E.M., Freitag, M.\BCBL Ivanov, D. \BBOP2020\BBCP. \BBOQ\APACrefatitleIntelligent methods and systems for decision-making support: Toward digital supply chain twins Intelligent methods and systems for decision-making support: Toward digital supply chain twins.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102281. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102281 \PrintBackRefs\CurrentBib Gao \BOthers. (\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. (\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2017) \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. Gartner Predicts 2019 for Supply Chain Operations. {APACrefURL} [2021-08-03]gartner.com/smarterwithgartner/gartner- predicts-2019-for-supply-chain- operations \PrintBackRefs\CurrentBib Gartner (\APACyear2022) \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. (\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. 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(\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb7{APACrefauthors}Gao, L., Yang, N., Zhang, R.\BCBL Luo, T. \BBOP2017\BBCP. \BBOQ\APACrefatitleDynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling Dynamic Supply Risk Management with Signal‐Based Forecast, Multi‐Sourcing, and Discretionary Selling.\BBCQ \APACjournalVolNumPagesProduction and Operations Management2671399–1415. {APACrefDOI} https://doi.org/10.1111/poms.12695 \PrintBackRefs\CurrentBib Gartner (\APACyear2018) \APACinsertmetastarb1{APACrefauthors}Gartner \BBOP2018\BBCP. \APACrefbtitleGartner Predicts 2019 for Supply Chain Operations. 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(\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb28{APACrefauthors}Gartner \BBOP2022\BBCP. \APACrefbtitle5 Strategic Supply Chain Predictions for 2022. 5 Strategic Supply Chain Predictions for 2022. {APACrefURL} [2022-09-14]https://www.gartner.com/en/articles/the-rise-of-the-ecosystem-and-4-more-supply-chain-predictions \PrintBackRefs\CurrentBib Ghadge \BOthers. (\APACyear2019) \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb26{APACrefauthors}Ghadge, A., Wurtmann, H.\BCBL Seuring, S. \BBOP2019\BBCP. \BBOQ\APACrefatitleManaging climate change risks in global supply chains: a review and research agenda Managing climate change risks in global supply chains: a review and research agenda.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research5811–21. {APACrefDOI} https://doi.org/10.1080/00207543.2019.1629670 \PrintBackRefs\CurrentBib Golan \BOthers. (\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
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(\APACyear2021) \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. (\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
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(\APACyear2016) \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb16{APACrefauthors}Golan, M.S., Trump, B.D., Cegan, J.C.\BCBL Linkov, I. \BBOP2021\BBCP. \BBOQ\APACrefatitleSupply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic Supply chain resilience for vaccines: review of modeling approaches in the context of the COVID-19 pandemic.\BBCQ \APACjournalVolNumPagesIndustrial Management & Data Systems12171723–1748. {APACrefDOI} https://doi.org/10.1108/imds-01-2021-0022 \PrintBackRefs\CurrentBib Goodfellow \BOthers. 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(\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb30{APACrefauthors}Goodfellow, I., Bengio, Y.\BCBL Courville, A. \APACrefYear2016. \APACrefbtitleDeep Learning Deep learning. \APACaddressPublisherMIT Press. \APACrefnotehttp://www.deeplearningbook.org \PrintBackRefs\CurrentBib Géron (\APACyear2019) \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. 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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \APACinsertmetastarb46{APACrefauthors}Géron, A. \APACrefYear2019. \APACrefbtitleHands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow (\BVOL 2). \APACaddressPublisherCanadaO’Reilly Media, Inc. \PrintBackRefs\CurrentBib Hochreiter \BBA Schmidhuber (\APACyear1997) \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb36{APACrefauthors}Hochreiter, S.\BCBT \BBA Schmidhuber, J. \BBOP1997\BBCP. \BBOQ\APACrefatitleLong Short-Term Memory Long short-term memory.\BBCQ \APACjournalVolNumPagesNeural Computation981735-1780. {APACrefDOI} https://doi.org/10.1162/neco.1997.9.8.1735 \PrintBackRefs\CurrentBib Hosseini \BOthers. (\APACyear2019) \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb2{APACrefauthors}Hosseini, S., Ivanov, D.\BCBL Dolgui, A. \BBOP2019\BBCP. \BBOQ\APACrefatitleReview of quantitative methods for supply chain resilience analysis Review of quantitative methods for supply chain resilience analysis.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review125285–307. {APACrefDOI} https://doi.org/10.1016/j.tre.2019.03.001 \PrintBackRefs\CurrentBib Ivanov (\APACyear2021) \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \APACinsertmetastarb3{APACrefauthors}Ivanov, D. \APACrefYear2021. \APACrefbtitleIntroduction to Supply Chain Resilience, Management, Modelling, Technology Introduction to Supply Chain Resilience, Management, Modelling, Technology (\PrintOrdinal1 \BEd). \APACaddressPublisherSpringer, Cham. {APACrefDOI} https://doi.org/10.1007/978-3-030-70490-2 \PrintBackRefs\CurrentBib Ivanov \BBA Dolgui (\APACyear2020) \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb11{APACrefauthors}Ivanov, D.\BCBT \BBA Dolgui, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2020\BBCP. \BBOQ\APACrefatitleA digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0 A digital supply chain twin for managing the disruption risks and resilience in the era of Industry 4.0.\BBCQ \APACjournalVolNumPagesProduction Planning & Control3291–14. {APACrefDOI} https://doi.org/10.1080/09537287.2020.1768450 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2019) \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb10{APACrefauthors}Ivanov, D., Dolgui, A., Das, A.\BCBL Sokolov, B. \BBOP2019\BBCP. \BBOQ\APACrefatitleDigital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility Digital Supply Chain Twins: Managing the Ripple Effect, Resilience, and Disruption Risks by Data-Driven Optimization, Simulation, and Visibility.\BBCQ \BIn \APACrefbtitleHandbook of Ripple Effects in the Supply Chain Handbook of ripple effects in the supply chain (\BPGS 309–332). \APACaddressPublisherChamSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-14302-2_15 \PrintBackRefs\CurrentBib Ivanov \BOthers. (\APACyear2018) \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
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(\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb6{APACrefauthors}Ivanov, D., Sethi, S., Dolgui, A.\BCBL Sokolov, B. \BBOP2018\BBCP. \BBOQ\APACrefatitleA survey on control theory applications to operational systems, supply chain management, and Industry 4.0 A survey on control theory applications to operational systems, supply chain management, and Industry 4.0.\BBCQ \APACjournalVolNumPagesAnnual Reviews in Control46134–147. {APACrefDOI} https://doi.org/10.1016/j.arcontrol.2018.10.014 \PrintBackRefs\CurrentBib Kalaboukas \BOthers. (\APACyear2021) \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb20{APACrefauthors}Kalaboukas, K., Rožanec, J., Košmerlj, A., Kiritsis, D.\BCBL Arampatzis, G. \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2021\BBCP. \BBOQ\APACrefatitleImplementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model Implementation of Cognitive Digital Twins in Connected and Agile Supply Networks—An Operational Model.\BBCQ \APACjournalVolNumPagesApplied Sciences1194103. {APACrefDOI} https://doi.org/10.3390/app11094103 \PrintBackRefs\CurrentBib Lee \BBA Lee (\APACyear2021) \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb19{APACrefauthors}Lee, D.\BCBT \BBA Lee, S. \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2021\BBCP. \BBOQ\APACrefatitleDigital Twin for Supply Chain Coordination in Modular Construction Digital Twin for Supply Chain Coordination in Modular Construction.\BBCQ \APACjournalVolNumPagesApplied Sciences11135909. {APACrefDOI} https://doi.org/10.3390/app11135909 \PrintBackRefs\CurrentBib Li \BOthers. (\APACyear2019) \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb37{APACrefauthors}Li, Z., Li, J., Wang, Y.\BCBL Wang, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2019\BBCP. \BBOQ\APACrefatitleA deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment A deep learning approach for anomaly detection based on SAE and LSTM in mechanical equipment.\BBCQ \APACjournalVolNumPagesThe International Journal of Advanced Manufacturing Technology1031-4499–510. {APACrefDOI} https://doi.org/10.1007/s00170-019-03557-w \PrintBackRefs\CurrentBib Lu (\APACyear2020) \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb49{APACrefauthors}Lu, J.Z. \BBOP2020\BBCP. \BBOQ\APACrefatitleCognitive Twins for Supporting Decision-Makings of Internet of Things Systems Cognitive Twins for Supporting Decision-Makings of Internet of Things Systems.\BBCQ \APACjournalVolNumPagesLecture Notes in Mechanical Engineering105–115. {APACrefDOI} https://doi.org/10.1007/978-3-030-46212-3_7 \PrintBackRefs\CurrentBib Ma \BBA Perkins (\APACyear2003) \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. 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(\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb33{APACrefauthors}Ma, J.\BCBT \BBA Perkins, S. \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2003\BBCP. \BBOQ\APACrefatitleTime-Series Novelty Detection Using One-Class Support Vector Machines Time-Series Novelty Detection Using One-Class Support Vector Machines.\BBCQ \APACjournalVolNumPagesProceedings of the International Joint Conference on Neural Networks, 200331741–1745. {APACrefDOI} https://doi.org/10.1109/ijcnn.2003.1223670 \PrintBackRefs\CurrentBib Malhotra \BOthers. (\APACyear2016) \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb32{APACrefauthors}Malhotra, P., Ramakrishnan, A., Anand, G., Vig, L., Agarwal, P.\BCBL Shroff, G. \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2016\BBCP. \BBOQ\APACrefatitleLSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection LSTM-based Encoder-Decoder for Multi-sensor Anomaly Detection.\BBCQ \APACjournalVolNumPagesarXiv. 1607.00148 \PrintBackRefs\CurrentBib Melnyk \BOthers. (\APACyear2013) \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. 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(\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb39{APACrefauthors}Melnyk, S.A., Zobel, C.W., Macdonald, J.R.\BCBL Griffis, S.E. \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2013\BBCP. \BBOQ\APACrefatitleMaking sense of transient responses in simulation studies Making sense of transient responses in simulation studies.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research523617–632. {APACrefDOI} https://doi.org/10.1080/00207543.2013.803626 \PrintBackRefs\CurrentBib Munoz \BBA Dunbar (\APACyear2015) \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb4{APACrefauthors}Munoz, A.\BCBT \BBA Dunbar, M. \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2015\BBCP. \BBOQ\APACrefatitleOn the quantification of operational supply chain resilience On the quantification of operational supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research53226736–6751. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1057296 \PrintBackRefs\CurrentBib Nguyen \BOthers. (\APACyear2021) \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb9{APACrefauthors}Nguyen, H., Tran, K., Thomassey, S.\BCBL Hamad, M. \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2021\BBCP. \BBOQ\APACrefatitleForecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.\BBCQ \APACjournalVolNumPagesInternational Journal of Information Management57102282. {APACrefDOI} https://doi.org/10.1016/j.ijinfomgt.2020.102282 \PrintBackRefs\CurrentBib Pernici \BOthers. (\APACyear2020) \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb14{APACrefauthors}Pernici, B., Plebani, P., Mecella, M., Leotta, F., Mandreoli, F., Martoglia, R.\BCBL Cabri, G. \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2020\BBCP. \BBOQ\APACrefatitleAgileChains: Agile Supply Chains through Smart Digital Twins Agilechains: Agile supply chains through smart digital twins.\BBCQ \APACrefbtitle30th European Safety and Reliability Conference, ESREL 2020 and 15th Probabilistic Safety Assessment and Management Conference, PSAM15 2020 30th european safety and reliability conference, esrel 2020 and 15th probabilistic safety assessment and management conference, psam15 2020 (\BPGS 2678–2684). {APACrefDOI} https://doi.org/10.3850/978-981-14-8593-0_3697-cd \PrintBackRefs\CurrentBib Qamsane \BOthers. (\APACyear2019) \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb17{APACrefauthors}Qamsane, Y., Chen, C\BHBIY., Balta, E.C., Kao, B\BHBIC., Mohan, S., Moyne, J.\BDBLBarton, K. \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. 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(\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2019\BBCP. \BBOQ\APACrefatitleA Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems A Unified Digital Twin Framework for Real-time Monitoring and Evaluation of Smart Manufacturing Systems.\BBCQ \APACjournalVolNumPages2019 IEEE 15th International Conference on Automation Science and Engineering (CASE)001394–1401. {APACrefDOI} https://doi.org/10.1109/coase.2019.8843269 \PrintBackRefs\CurrentBib Radosavljević \BOthers. (\APACyear2021) \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb8{APACrefauthors}Radosavljević, A.R., Lučanin, V.J., Rüger, B.\BCBL Golubović, S.D. \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2021\BBCP. \BBOQ\APACrefatitleBig data analytics and anomaly prediction in the cold chain to supply chain resilience Big data analytics and anomaly prediction in the cold chain to supply chain resilience.\BBCQ \APACjournalVolNumPagesFME Transactions492315–326. {APACrefDOI} https://doi.org/10.5937/fme2102315l \PrintBackRefs\CurrentBib Răileanu \BOthers. (\APACyear2019) \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb18{APACrefauthors}Răileanu, S., Borangiu, T., Ivănescu, N., Morariu, O.\BCBL Anton, F. \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2019\BBCP. \BBOQ\APACrefatitleIntegrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System Integrating the Digital Twin of a Shop Floor Conveyor in the Manufacturing Control System.\BBCQ \APACrefbtitleService Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service oriented, holonic and multi-agent manufacturing systems for industry of the future (\BPGS 134–145). \APACaddressPublisherSpringer International Publishing. {APACrefDOI} https://doi.org/10.1007/978-3-030-27477-1_10 \PrintBackRefs\CurrentBib Schölkopf \BOthers. (\APACyear1999) \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb34{APACrefauthors}Schölkopf, B., Williamson, R.C., Smola, A., Shawe-Taylor, J.\BCBL Platt, J.C. \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP1999\BBCP. \BBOQ\APACrefatitleSupport Vector Method for Novelty Detection Support vector method for novelty detection.\BBCQ \APACrefbtitleAdvances in Neural Information Processing Systems Advances in neural information processing systems (\BVOL 12, \BPGS 582–588). \PrintBackRefs\CurrentBib V. Spiegler \BOthers. (\APACyear2015) \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb5{APACrefauthors}Spiegler, V., Potter, A., Naim, M.\BCBL Towill, D. \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2015\BBCP. \BBOQ\APACrefatitleThe value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain The value of nonlinear control theory in investigating the underlying dynamics and resilience of a grocery supply chain.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research541265–286. {APACrefDOI} https://doi.org/10.1080/00207543.2015.1076945 \PrintBackRefs\CurrentBib V.L.M. Spiegler \BOthers. (\APACyear2012) \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb43{APACrefauthors}Spiegler, V.L.M., Naim, M.M.\BCBL Wikner, J. \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2012\BBCP. \BBOQ\APACrefatitleA control engineering approach to the assessment of supply chain resilience A control engineering approach to the assessment of supply chain resilience.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research50216162–6187. {APACrefDOI} https://doi.org/10.1080/00207543.2012.710764 \PrintBackRefs\CurrentBib Subasi (\APACyear2020) \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \APACinsertmetastarb31{APACrefauthors}Subasi, A. \BBOP2020\BBCP. \BBOQ\APACrefatitleChapter 3 - Machine learning techniques Chapter 3 - machine learning techniques.\BBCQ A. Subasi (\BED), \APACrefbtitlePractical Machine Learning for Data Analysis Using Python Practical machine learning for data analysis using python (\BPG 91-202). \APACaddressPublisherAcademic Press. {APACrefURL} https://www.sciencedirect.com/science/article/pii/B9780128213797000035 {APACrefDOI} https://doi.org/https://doi.org/10.1016/B978-0-12-821379-7.00003-5 \PrintBackRefs\CurrentBib Torabi \BOthers. (\APACyear2015) \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb45{APACrefauthors}Torabi, S., Baghersad, M.\BCBL Mansouri, S. \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2015\BBCP. \BBOQ\APACrefatitleResilient supplier selection and order allocation under operational and disruption risks Resilient supplier selection and order allocation under operational and disruption risks.\BBCQ \APACjournalVolNumPagesTransportation Research Part E: Logistics and Transportation Review7922–48. {APACrefDOI} https://doi.org/10.1016/j.tre.2015.03.005 \PrintBackRefs\CurrentBib Vieira \BOthers. (\APACyear2019) \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb13{APACrefauthors}Vieira, A.A., Dias, L.M., Santos, M.Y., Pereira, G.A.\BCBL Oliveira, J.A. \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2019\BBCP. \BBOQ\APACrefatitleSimulation of an automotive supply chain using big data Simulation of an automotive supply chain using big data.\BBCQ \APACjournalVolNumPagesComputers & Industrial Engineering137106033. {APACrefDOI} https://doi.org/10.1016/j.cie.2019.106033 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt1) \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb29{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2021\BCnt1\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib Zheng \BOthers. (\APACyear2021\APACexlab\BCnt2) \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib \APACinsertmetastarb48{APACrefauthors}Zheng, X., Lu, J.\BCBL Kiritsis, D. \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
- \BBOP2021\BCnt2\BBCP. \BBOQ\APACrefatitleThe emergence of cognitive digital twin: vision, challenges and opportunities The emergence of cognitive digital twin: vision, challenges and opportunities.\BBCQ \APACjournalVolNumPagesInternational Journal of Production Research1–23. {APACrefDOI} https://doi.org/10.1080/00207543.2021.2014591 \PrintBackRefs\CurrentBib
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