Risk-averse decision-making to maintain supply chain viability under propagated disruptions

References

• Aubin, J. P. 1991. Viability Theory. Boston, MA: Birkhäuser.
   Google Scholar
• Aubin, J. P. 1997. Dynamic Economic Theory: A Viability Approach. Berlin: Springer Verlag.
   Google Scholar
• Aubin, J. P., A. M. Bayen, and P. Saint-Pierre. 2011. Viability Theory: New Directions. 2nd ed. Springer.
   Google Scholar
• Chowdhury, P., S. K. Paul, S. Kaisar, and M. A. Moktadir. 2021. “COVID-19 Pandemic Related Supply Chain Studies: A Systematic Review.” Transportation Research Part E 148:102271. https://doi.org/10.1016/j.tre.2021.102271.
   Google Scholar
• Dolgui, A., and D. Ivanov. 2021. “Ripple Effect and Supply Chain Disruption Management: New Trends and Research Directions.” International Journal of Production Research 59 (1): 102–109. https://doi.org/10.1080/00207543.2021.1840148.
   Web of Science ®Google Scholar
• Hosseini, S., D. Ivanov, and A. Dolgui. 2019. “Review of Quantitative Methods for Supply Chain Resilience Analysis.” Transportation Research Part E 125:285–307. https://doi.org/10.1016/j.tre.2019.03.001.
   Google Scholar
• Ivanov, D. 2020. “Predicting the Impacts of Epidemic Outbreaks on Global Supply Chains: A Simulation-based Analysis on the Coronavirus Outbreak (COVID-19/SARSCoV-2) Case.” Transportation Research Part E 136:101922. https://doi.org/10.1016/j.tre.2020.101922.
   Google Scholar
• Ivanov, D. 2021a. Introduction to Supply Chain Resilience. New York: Springer.
   Google Scholar
• Ivanov, D. 2021b. “Supply Chain Viability and the COVID-19 Pandemic: A Conceptual and Formal Generalisation of Four Major Adaptation Strategies.” International Journal of Production Research 59 (12): 3535–3552. https://doi.org/10.1080/00207543.2021.1890852.
   Web of Science ®Google Scholar
• Ivanov, D., and A. Dolgui. 2020. “Viability of Intertwined Supply Networks: Extending the Supply Chain Resilience Angles Towards Survivability. A Position Paper Motivated by COVID-19 Outbreak.” International Journal of Production Research 58 (10): 2904–2915. https://doi.org/10.1080/00207543.2020.1750727.
   Web of Science ®Google Scholar
• Ivanov, D., A. Dolgui, J. V. Blackhurst, and T.-M. Choi. 2023. “Toward Supply Chain Viability Theory: From Lessons Learned Through COVID-19 Pandemic to Viable Ecosystems.” International Journal of Production Research 61 (8): 2402–2415. https://doi.org/10.1080/00207543.2023.2177049.
   Web of Science ®Google Scholar
• Ivanov, D., A. Dolgui, and B. Sokolov, eds. 2019. Handbook of Ripple Effects in the Supply Chain. New York: Springer.
   Google Scholar
• Ivanov, D., and B. B. Keskin. 2022. “Post-pandemic Adaptation and Development of Supply Chain Viability Theory (Editorial to Special Issue on Supply Chain Viability).” Omega 116:102806. https://doi.org/10.1016/j.omega.2022.102806.
   Web of Science ®Google Scholar
• Karacaoglu, G., and J. B. Krawczyk. 2021. “Public Policy, Systemic Resilience and Viability Theory.” Metroeconomica 1–23. https://doi.org/10.1111/meca.12349.
   Web of Science ®Google Scholar
• Kim, Y. G., and B. D. Chung. 2022. “Closed-loop Supply Chain Network Design Considering Reshoring Drivers.” Omega 109:102610. https://doi.org/10.1016/j.omega.2022.102610.
   Web of Science ®Google Scholar
• Liu, M., Z. Liu, F. Chu, A. Dolgui, C. Chu, and F. Zheng. 2022. “An Optimization Approach for Multi-echelon Supply Chain Viability with Disruption Risk Minimization.” Omega 112:102683. https://doi.org/10.1016/j.omega.2022.102683.
   Web of Science ®Google Scholar
• Özçelik, G., Ö. F. Yilmaz, and F. B. Yeni. 2021. “Robust Optimisation for Ripple Effect on Reverse Supply Chain: An Industrial Case Study.” International Journal of Production Research 59 (1): 245–264. https://doi.org/10.1080/00207543.2020.1740348.
   Web of Science ®Google Scholar
• Rockafellar, R. T., and S. Uryasev. 2000. “Optimization of Conditional Value-at-risk.” The Journal of Risk 2 (3): 21–41. https://doi.org/10.21314/JOR.2000.038.
   Google Scholar
• Ruel, S., J. El Baz, D. Ivanov, and A. Das. 2021. “Supply Chain Viability: Conceptualization, Measurement, and Nomological Validation.” Annals of Operations Research. https://doi.org/10.1007/s10479-021-03974-9.
   PubMed Web of Science ®Google Scholar
• Salama, M., and R. McGarvey. 2023. “Resilient Supply Chain to a Global Pandemic.” International Journal of Production Research 61 (8): 2563–2593. https://doi.org/10.1080/00207543.2021.1946726.
   Web of Science ®Google Scholar
• Sardesai, S., and K. Klingebiel. 2023. “Maintaining Viability by Rapid Supply Chain Adaptation Using a Process Capability Index.” Omega 115:102778. https://doi.org/10.1016/j.omega.2022.102778.
   Web of Science ®Google Scholar
• Sawik, T. 2013. “Selection of Resilient Supply Portfolio Under Disruption Risks.” Omega 41 (2): 259–269. https://doi.org/10.1016/j.omega.2012.05.003.
   Web of Science ®Google Scholar
• Sawik, T. 2017. “A Portfolio Approach to Supply Chain Disruption Management.” International Journal of Production Research 55 (7): 1970–1991. https://doi.org/10.1080/00207543.2016.1249432.
   Web of Science ®Google Scholar
• Sawik, T. 2019. “Disruption Mitigation and Recovery in Supply Chains Using Portfolio Approach.” Omega 84 (4): 232–248. https://doi.org/10.1016/j.omega.2018.05.006.
   Web of Science ®Google Scholar
• Sawik, T. 2021. “On the Risk-averse Selection of Resilient Multi-tier Supply Portfolio.” Omega 101:102267. https://doi.org/10.1016/j.omega.2020.102267.
   Web of Science ®Google Scholar
• Sawik, T. 2022. “Stochastic Optimization of Supply Chain Resilience Under Ripple Effect: A COVID-19 Pandemic Related Study.” Omega 109:102596. https://doi.org/10.1016/j.omega.2022.102596.
   Web of Science ®Google Scholar
• Sawik, T. 2023a. “A Stochastic Optimisation Approach to Maintain Supply Chain Viability Under the Ripple Effect.” International Journal of Production Research 61 (8): 2452–2469. https://doi.org/10.1080/00207543.2023.2172964.
   Web of Science ®Google Scholar
• Sawik, T. 2023b. “Reshore Or Not Reshore: A Stochastic Programming Approach to Supply Chain Optimization.” Omega 118:102863. https://doi.org/10.1016/j.omega.2023.102863.
   Web of Science ®Google Scholar
• Sawik, B. 2023c. “Space Mission Risk, Sustainability and Supply Chain: Review, Multi-Objective Optimization Model and Practical Approach.” Sustainability 15 (14): 11002. http://doi.org/10.3390/su151411002.
   Web of Science ®Google Scholar
• Suryawanshi, P., and P. Dutta. 2022. “Optimization Models for Supply Chains Under Risk, Uncertainty, and Resilience: A State-of-the-art Review and Future Research Directions.” Transportation Research Part E 157:102553. https://doi.org/10.1016/j.tre.2021.102553.
   Google Scholar
• Yilmaz, Ö. F., G. Özçelik, and F. B. Yeni. 2021. “Ensuring Sustainability in the Reverse Supply Chain in Case of the Ripple Effect: A Two-stage Stochastic Optimization Model.” Journal of Cleaner Production 282:124548. https://doi.org/10.1016/j.jclepro.2020.124548.
   PubMed Web of Science ®Google Scholar
• Yilmaz, Ö. F., F. B. Yeni, B. G. Yilmaz, and G. Özçelik. 2023. “An Optimization-based Methodology Equipped with Lean Tools to Strengthen Medical Supply Chain Resilience During a Pandemic: A Case Study From Turkey.” Transportation Research Part E 173:103089. https://doi.org/10.1016/j.tre.2023.103089.
   Google Scholar