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Design redundancy in agile and resilient humanitarian supply chains

Author

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  • Meghan Stewart

    (Berlin School of Economics and Law)

  • Dmitry Ivanov

    (Berlin School of Economics and Law)

Abstract

This paper proposes a design redundancy framework for countering the risks inherent in humanitarian supply chains (SCs), particularly those operating in conflict zones. This framework deals with humanitarian SC design and risk management, drawing from literature on agility and resilience. The humanitarian SC operation directed by the logistics cluster in Yemen is analyzed using system dynamics simulation and network optimization. Real data is used as input to the models to create and five alternative SC designs which can be implemented depending on the current risks to the humanitarian SC. This constitutes the new concept of design redundancy, whereby humanitarian SC managers can analyse multiple alternative SC designs for humanitarian operations. Each design is fitted to a potential risk scenario which is likely to occur during that crisis. The approach developed empowers the decision-makers to ensure the continued flow of aid to beneficiaries despite disruption providing decision-making support for humanitarian SC managers and communication with donors.

Suggested Citation

  • Meghan Stewart & Dmitry Ivanov, 2022. "Design redundancy in agile and resilient humanitarian supply chains," Annals of Operations Research, Springer, vol. 319(1), pages 633-659, December.
  • Handle: RePEc:spr:annopr:v:319:y:2022:i:1:d:10.1007_s10479-019-03507-5
    DOI: 10.1007/s10479-019-03507-5
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    References listed on IDEAS

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    1. Dmitry Ivanov, 2018. "Revealing interfaces of supply chain resilience and sustainability: a simulation study," International Journal of Production Research, Taylor & Francis Journals, vol. 56(10), pages 3507-3523, May.
    2. He, Jian & Alavifard, Farzad & Ivanov, Dmitry & Jahani, Hamed, 2019. "A real-option approach to mitigate disruption risk in the supply chain," Omega, Elsevier, vol. 88(C), pages 133-149.
    3. Ivanov, Dmitry & Sokolov, Boris, 2013. "Control and system-theoretic identification of the supply chain dynamics domain for planning, analysis and adaptation of performance under uncertainty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 313-323.
    4. Alexandre Dolgui & Dmitry Ivanov & Boris Sokolov, 2018. "Ripple effect in the supply chain: an analysis and recent literature," International Journal of Production Research, Taylor & Francis Journals, vol. 56(1-2), pages 414-430, January.
    5. Mario Situm & Rosendo Martin Martinez Mateos, 2017. "The strategic view of supply chain management and its association with risk," International Journal of Integrated Supply Management, Inderscience Enterprises Ltd, vol. 11(1), pages 87-134.
    6. Scott DuHadway & Steven Carnovale & Benjamin Hazen, 2019. "Understanding risk management for intentional supply chain disruptions: risk detection, risk mitigation, and risk recovery," Annals of Operations Research, Springer, vol. 283(1), pages 179-198, December.
    7. Hosseini, Seyedmohsen & Ivanov, Dmitry & Dolgui, Alexandre, 2019. "Review of quantitative methods for supply chain resilience analysis," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 285-307.
    8. Dmitry Ivanov & Alexandre Dolgui, 2019. "Low-Certainty-Need (LCN) supply chains: a new perspective in managing disruption risks and resilience," International Journal of Production Research, Taylor & Francis Journals, vol. 57(15-16), pages 5119-5136, August.
    9. Dmitry Ivanov, 2018. "Structural Dynamics and Resilience in Supply Chain Risk Management," International Series in Operations Research and Management Science, Springer, number 978-3-319-69305-7, September.
    10. Bier, Tobias & Lange, Anne & Glock, C. H., 2019. "Methods for mitigating disruptions in complex supply chain structures: A systematic literature review," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 117711, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    11. Dmitry Ivanov, 2017. "Simulation-based ripple effect modelling in the supply chain," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 2083-2101, April.
    12. Angappa Gunasekaran & Nachiappan Subramanian & Shams Rahman, 2015. "Supply chain resilience: role of complexities and strategies," International Journal of Production Research, Taylor & Francis Journals, vol. 53(22), pages 6809-6819, November.
    13. Hu, Shaolong & Dong, Zhijie Sasha, 2019. "Supplier selection and pre-positioning strategy in humanitarian relief," Omega, Elsevier, vol. 83(C), pages 287-298.
    14. Dmitry Ivanov & Boris Sokolov, 2019. "Simultaneous structural–operational control of supply chain dynamics and resilience," Annals of Operations Research, Springer, vol. 283(1), pages 1191-1210, December.
    15. Serhan Duran & Marco A. Gutierrez & Pinar Keskinocak, 2011. "Pre-Positioning of Emergency Items for CARE International," Interfaces, INFORMS, vol. 41(3), pages 223-237, June.
    16. Chen, Hsi Yueh & Das, Ajay & Ivanov, Dmitry, 2019. "Building resilience and managing post-disruption supply chain recovery: Lessons from the information and communication technology industry," International Journal of Information Management, Elsevier, vol. 49(C), pages 330-342.
    17. L N Van Wassenhove, 2006. "Humanitarian aid logistics: supply chain management in high gear," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(5), pages 475-489, May.
    18. Altay, Nezih & Green III, Walter G., 2006. "OR/MS research in disaster operations management," European Journal of Operational Research, Elsevier, vol. 175(1), pages 475-493, November.
    19. Rameshwar Dubey & Angappa Gunasekaran & Thanos Papadopoulos, 2019. "Disaster relief operations: past, present and future," Annals of Operations Research, Springer, vol. 283(1), pages 1-8, December.
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