How to cite this paper
Bouraya, S & Korchi, A. (2026). Digital twin applications in supply chain management: A systematic literature review.Uncertain Supply Chain Management, 14(2), 147-166.
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Azevedo, S. G., Pimentel, C. M. O., Alves, A. C., & Matias, J. C. O. (2021). Support of advanced technologies in supply chain processes and sustainability impact. Applied Sciences (Switzerland), 11(7). https://doi.org/10.3390/app11073026
Badakhshan, E., & Ball, P. (2022). Applying digital twins for inventory and cash management in supply chains under physical and financial disruptions. International Journal of Production Research. https://doi.org/10.1080/00207543.2022.2093682
Badakhshan, E., Ball, P., & Badakhshan, A. (2022). Using digital twins for inventory and cash management in supply chains. IFAC-PapersOnLine, 55(10), 1980–1985. https://doi.org/10.1016/j.ifacol.2022.09.689
Badia-Melis, R., Mc Carthy, U., Ruiz-Garcia, L., Garcia-Hierro, J., & Robla Villalba, J. I. (2018). New trends in cold chain monitoring applications - A review. In Food Control (Vol. 86, pp. 170–182). Elsevier Ltd. https://doi.org/10.1016/j.foodcont.2017.11.022
Barykin, S. Y., Bochkarev, A. A., Kalinina, O. V., & Yadykin, V. K. (2020). Concept for a supply chain digital twin. International Journal of Mathematical, Engineering and Management Sciences, 5(6), 1498–1515. https://doi.org/10.33889/IJMEMS.2020.5.6.111
Bhandal, R., Meriton, R., Kavanagh, R. E., & Brown, A. (2022). The application of digital twin technology in operations and supply chain management: a bibliometric review. In Supply Chain Management (Vol. 27, Issue 2, pp. 182–206). Emerald Group Holdings Ltd. https://doi.org/10.1108/SCM-01-2021-0053
Binsfeld, T., & Gerlach, B. (2022). Quantifying the Benefits of Digital Supply Chain Twins—A Simulation Study in Organic Food Supply Chains. Logistics, 6(3), 46. https://doi.org/10.3390/logistics6030046
Burgos, D., & Ivanov, D. (2021). Food retail supply chain resilience and the COVID-19 pandemic: A digital twin-based impact analysis and improvement directions. Transportation Research Part E: Logistics and Transportation Review, 152. https://doi.org/10.1016/j.tre.2021.102412
Busse, A., Gerlach, B., Lengeling, J. C., Poschmann, P., Werner, J., & Zarnitz, S. (2021). Towards Digital Twins of Multimodal Supply Chains. Logistics, 5(2). https://doi.org/10.3390/logistics5020025
Büyüközkan, G., & Göçer, F. (2018). Digital Supply Chain: Literature review and a proposed framework for future research. Computers in Industry, 97, 157–177. https://doi.org/10.1016/j.compind.2018.02.010
Cavalcante, I. M., Frazzon, E. M., Forcellini, F. A., & Ivanov, D. (2019). A supervised machine learning approach to data-driven simulation of resilient supplier selection in digital manufacturing. International Journal of Information Management, 49, 86–97. https://doi.org/10.1016/j.ijinfomgt.2019.03.004
Cook, D. J., Mulrow, C. D., Haynes, R. B., & Mcmaster, F. (1997). Systematic Review Series Series Editors: Cynthia Mulrow f MD, MSc Deborah Cook f MD, MSc Systematic Reviews: Synthesis of Best Evidence for Clinical Decisions. In Ann Intern Med (Vol. 126). http://annals.org/
Defraeye, T., Tagliavini, G., Wu, W., Prawiranto, K., Schudel, S., Assefa Kerisima, M., Verboven, P., & Bühlmann, A. (2019). Digital twins probe into food cooling and biochemical quality changes for reducing losses in refrigerated supply chains. Resources, Conservation and Recycling, 149, 778–794. https://doi.org/10.1016/j.resconrec.2019.06.002
Elbouzidi, A. D., Bélanger, M. J., el Cadi, A. A., Pellerin, R., Lamouri, S., & Valencia, E. T. (2022). The Role Of AI In Warehouse Digital Twins. European Modeling and Simulation Symposium, EMSS. https://doi.org/10.46354/i3m.2022.emss.024
Farahani, P. (2015). Digital Supply Chain Management 2020 Vision. https://www.researchgate.net/publication/301350882
Feng, Y. (2018). Create the Individualized Digital Twin for Noninvasive Precise Pulmonary Healthcare. Significances of Bioengineering & Biosciences, 1(2). https://doi.org/10.31031/sbb.2018.01.000507
Fuller, A., Fan, Z., Day, C., & Barlow, C. (2020). Digital Twin: Enabling Technologies, Challenges and Open Research. IEEE Access, 8, 108952–108971. https://doi.org/10.1109/ACCESS.2020.2998358
Gallego-García, S., Reschke, J., & García-García, M. (2019). Design and simulation of a capacity management model using a digital twin approach based on the viable system model: Case study of an automotive plant. Applied Sciences (Switzerland), 9(24). https://doi.org/10.3390/app9245567
Gerlach, B., Zarnitz, S., Nitsche, B., & Straube, F. (2021). Digital Supply Chain Twins—Conceptual Clarification, Use Cases and Benefits. Logistics, 5(4). https://doi.org/10.3390/logistics5040086
Gimpel, H., & Röglinger, M. (n.d.). Digital Transformation: Changes and Chances – Insights based on an Empirical Study. www.fim-rc.de
Henrichs, E., Noack, T., Piedrahita, A. M. P., Salem, M. A., Stolz, J., & Krupitzer, C. (2022). Can a byte improve our bite? An analysis of digital twins in the food industry. Sensors, 22(1). https://doi.org/10.3390/s22010115
Hofmann, W., & Branding, F. (2019). Implementation of an IoT- And cloud-based digital twin for real-time decision support in port operations. IFAC-PapersOnLine, 52(13), 2104–2109. https://doi.org/10.1016/j.ifacol.2019.11.516
IEEE Technology Engineering and Management Society., & Institute of Electrical and Electronics Engineers. (n.d.). Proceedings, 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC) : virtual conference, 15 -17 June 2020.
Ivanov, D. (2018). Structural Dynamics and Resilience in Supply Chain Risk Management (Vol. 265). Springer International Publishing. https://doi.org/10.1007/978-3-319-69305-7
Ivanov, D. (2020). Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case. Transportation Research Part E: Logistics and Transportation Review, 136. https://doi.org/10.1016/j.tre.2020.101922
Ivanov, D. (2022). Blackout and supply chains: Cross-structural ripple effect, performance, resilience and viability impact analysis. Annals of Operations Research. https://doi.org/10.1007/s10479-022-04754-9
Ivanov, D., & Dolgui, A. (2019). New disruption risk management perspectives in supply chains: Digital twins, the ripple effect, and resileanness. IFAC-PapersOnLine, 52(13), 337–342. https://doi.org/10.1016/j.ifacol.2019.11.138
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