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Post-pandemic adaptation and development of supply chain viability theory

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  • Ivanov, Dmitry
  • Keskin, Burcu B.

Abstract

The design and management of an efficient, resilient, and viable supply chain (SC) capable of operations and demand fulfillment continuity despite severe disruptions is imperative for the survivability of firms and for providing society with essential goods and services in long-term crises. This Special Issue focuses on SC adaptation and viability as novel decision-making settings for operations research and management science (OR/MS) emerged in the wake of the COVID-19 pandemic, which goes beyond short-term, singular event-driven disruptions. Papers in the Special Issue present new and original OR/MS research to support decision-making related to long-term SC crises with inherent uncertainty about the present and future. Since SC viability theory is relatively new, this Special Issue contributes to advancing our knowledge and application fields for designing and managing SCs as viable systems. We present fundamentals of SC viability theory, review and summarize papers in the Special Issue, and project some future research directions.

Suggested Citation

  • Ivanov, Dmitry & Keskin, Burcu B., 2023. "Post-pandemic adaptation and development of supply chain viability theory," Omega, Elsevier, vol. 116(C).
    • Handle: RePEc:eee:jomega:v:116:y:2023:i:c:s0305048322002122
    DOI: 10.1016/j.omega.2022.102806
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    References listed on IDEAS

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    1. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2020. "Reconfigurable supply chain: the X-network," International Journal of Production Research, Taylor & Francis Journals, vol. 58(13), pages 4138-4163, July.
    2. Li, Guo & Liu, Mengqi & Zheng, Hong, 2022. "Subsidization or Diversification? Mitigating Supply Disruption with Manufacturer Information Sharing," Omega, Elsevier, vol. 112(C).
    3. Choi, Tsan-Ming & Shi, Xiutian, 2022. "Reducing supply risks by supply guarantee deposit payments in the fashion industry in the “new normal after COVID-19”," Omega, Elsevier, vol. 109(C).
    4. Ramani, Vinay & Ghosh, Debabrata & Sodhi, ManMohan S., 2022. "Understanding systemic disruption from the Covid-19-induced semiconductor shortage for the auto industry," Omega, Elsevier, vol. 113(C).
    5. (Ryan) Choi, Ji-Hung & Yoon, Jiho & Song, Ju Myung, 2023. "Adaptive R&D contract for urgently needed drugs: Lessons from COVID-19 vaccine development," Omega, Elsevier, vol. 114(C).
    6. Dmitry Ivanov, 2021. "Supply Chain Viability and the COVID-19 pandemic: a conceptual and formal generalisation of four major adaptation strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 59(12), pages 3535-3552, June.
    7. Ivanov, Dmitry & Dolgui, Alexandre, 2021. "OR-methods for coping with the ripple effect in supply chains during COVID-19 pandemic: Managerial insights and research implications," International Journal of Production Economics, Elsevier, vol. 232(C).
    8. Rozhkov, Maxim & Ivanov, Dmitry & Blackhurst, Jennifer & Nair, Anand, 2022. "Adapting supply chain operations in anticipation of and during the COVID-19 pandemic," Omega, Elsevier, vol. 110(C).
    9. Dmitry Ivanov & Alexandre Dolgui, 2022. "The shortage economy and its implications for supply chain and operations management," International Journal of Production Research, Taylor & Francis Journals, vol. 60(24), pages 7141-7154, December.
    10. Kahr, Michael, 2022. "Determining locations and layouts for parcel lockers to support supply chain viability at the last mile," Omega, Elsevier, vol. 113(C).
    11. Tadeusz Sawik, 2020. "Selection of Resilient Multi-Tier Supply Portfolio," International Series in Operations Research & Management Science, in: Supply Chain Disruption Management, edition 2, chapter 0, pages 367-400, Springer.
    12. Haque, Md Tabish & Hamid, Faiz, 2023. "Social distancing and revenue management—A post-pandemic adaptation for railways," Omega, Elsevier, vol. 114(C).
    13. Ivanov, Dmitry, 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, Elsevier, vol. 136(C).
    14. Sardesai, Saskia & Klingebiel, Katja, 2023. "Maintaining viability by rapid supply chain adaptation using a process capability index," Omega, Elsevier, vol. 115(C).
    15. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    16. Sawik, Tadeusz, 2022. "Stochastic optimization of supply chain resilience under ripple effect: A COVID-19 pandemic related study," Omega, Elsevier, vol. 109(C).
    17. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).
    18. Tadeusz Sawik, 2020. "Selection of Resilient Supply Portfolio," International Series in Operations Research & Management Science, in: Supply Chain Disruption Management, edition 2, chapter 0, pages 77-108, Springer.
    19. Gilani, Hani & Sahebi, Hadi, 2022. "A data-driven robust optimization model by cutting hyperplanes on vaccine access uncertainty in COVID-19 vaccine supply chain," Omega, Elsevier, vol. 110(C).
    20. Lawrence V. Snyder & Zümbül Atan & Peng Peng & Ying Rong & Amanda J. Schmitt & Burcu Sinsoysal, 2016. "OR/MS models for supply chain disruptions: a review," IISE Transactions, Taylor & Francis Journals, vol. 48(2), pages 89-109, February.
    21. Dmitry Ivanov & Alexandre 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, Taylor & Francis Journals, vol. 58(10), pages 2904-2915, May.
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    Cited by:

    1. Liu, Ming & Ding, Yueyu & Chu, Feng & Dolgui, Alexandre & Zheng, Feifeng, 2024. "Robust actions for improving supply chain resilience and viability," Omega, Elsevier, vol. 123(C).
    2. Aziz Barhmi & Omar Hajaji, 2023. "Multidisciplinary Approach to Supply Chain Resilience: Conceptualization and Scale Development," Central European Business Review, Prague University of Economics and Business, vol. 2023(5), pages 43-69.
    3. Brusset, Xavier & Ivanov, Dmitry & Jebali, Aida & La Torre, Davide & Repetto, Marco, 2023. "A dynamic approach to supply chain reconfiguration and ripple effect analysis in an epidemic," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Aldrighetti, Riccardo & Battini, Daria & Ivanov, Dmitry, 2023. "Efficient resilience portfolio design in the supply chain with consideration of preparedness and recovery investments," Omega, Elsevier, vol. 117(C).
    5. Chervenkova, Tanya & Ivanov, Dmitry, 2023. "Adaptation strategies for building supply chain viability: A case study analysis of the global automotive industry re-purposing during the COVID-19 pandemic," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    6. Babai, M. Zied & Ivanov, Dmitry & Kwon, Oh Kang, 2023. "Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique," Omega, Elsevier, vol. 116(C).
    7. Khadija Echefaj & Abdelkabir Charkaoui & Anass Cherrafi & Dmitry Ivanov, 2024. "Design of resilient and viable sourcing strategies in intertwined circular supply networks," Annals of Operations Research, Springer, vol. 337(1), pages 459-498, June.
    8. Alam, Md Fahim Bin & Tushar, Saifur Rahman & Ahmed, Tazim & Karmaker, Chitra Lekha & Bari, A.B.M. Mainul & de Jesus Pacheco, Diego Augusto & Nayyar, Anand & Islam, Abu Reza Md Towfiqul, 2024. "Analysis of the enablers to deal with the ripple effect in food grain supply chains under disruption: Implications for food security and sustainability," International Journal of Production Economics, Elsevier, vol. 270(C).
    9. Ivanov, Dmitry, 2024. "Supply chain resilience: Conceptual and formal models drawing from immune system analogy," Omega, Elsevier, vol. 127(C).
    10. Dubey, Rameshwar & Bryde, David J. & Dwivedi, Yogesh K. & Graham, Gary & Foropon, Cyril & Papadopoulos, Thanos, 2023. "Dynamic digital capabilities and supply chain resilience: The role of government effectiveness," International Journal of Production Economics, Elsevier, vol. 258(C).
    11. Mehmet Fatih Acar & Alev Özer Torgalöz & Enes Eryarsoy & Selim Zaim & Salomée Ruel, 2024. "The effect of organizational culture, supplier trust and information sharing on supply chain viability," Operations Management Research, Springer, vol. 17(3), pages 1058-1077, September.
    12. Ivanov, Dmitry, 2023. "Intelligent digital twin (iDT) for supply chain stress-testing, resilience, and viability," International Journal of Production Economics, Elsevier, vol. 263(C).
    13. Sun, Xiaotian & Fang, Wei & Gao, Xiangyun & An, Haizhong & Si, Jingjian & Wei, Hongyu, 2024. "Dynamic interactions among new energy metals and price adjustment strategies: A cross-industry chain perspective," Energy, Elsevier, vol. 303(C).
    14. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Meyer, Patrick & Dolgui, Alexandre, 2023. "Production-sharing of critical resources with dynamic demand under pandemic situation: The COVID-19 pandemic," Omega, Elsevier, vol. 120(C).
    15. Ming Liu & Yueyu Ding & Maoran Zhu, 2024. "Evaluation of adaptation strategies for sustainable supply chains: application in medical waste reverse supply chains," Operations Management Research, Springer, vol. 17(3), pages 1126-1139, September.

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