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Optimization of humanitarian relief supply chain reliability: a case study of the Ya’an earthquake

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  • Jihai Zhang

    (Beijing Institute of Technology)

  • Zhile Wang

    (Beijing Institute of Technology)

  • Fan Ren

    (Beijing Institute of Technology)

Abstract

This article seeks to propose a mathematical method to optimize the reliability of the humanitarian relief supply chain. Reliability and cost are both important in response to the disasters. To optimize the reliability of humanitarian relief supply chain and to find a trade-off between the reliability and cost, this article establishes a reliability integrated optimization model for the humanitarian relief supply chain and investigates the methods for optimizing the coordination between flow quantity and unit reliability, optimizes the allocation of reliability for each unit, to optimize the total reliability and cost of the humanitarian relief supply chain. To make the results of this article more applicable, this article applies a case study of the Ya’an earthquake to the built model and subsequently proves the related conclusions subsequently. These theoretical results can be used to improve the disaster operations efficiency of the humanitarian relief supply in the crisis state, achieve a win–win situation between the total reliability and cost.

Suggested Citation

  • Jihai Zhang & Zhile Wang & Fan Ren, 2019. "Optimization of humanitarian relief supply chain reliability: a case study of the Ya’an earthquake," Annals of Operations Research, Springer, vol. 283(1), pages 1551-1572, December.
    • Handle: RePEc:spr:annopr:v:283:y:2019:i:1:d:10.1007_s10479-018-03127-5
    DOI: 10.1007/s10479-018-03127-5
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    4. George S. Atsalakis & Elie Bouri & Fotios Pasiouras, 2021. "Natural disasters and economic growth: a quantile on quantile approach," Annals of Operations Research, Springer, vol. 306(1), pages 83-109, November.
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    6. Paula Camargo Fiorini & Charbel Jose Chiappetta Jabbour & Ana Beatriz Lopes de Sousa Jabbour & Gary Ramsden, 2022. "The human side of humanitarian supply chains: a research agenda and systematization framework," Annals of Operations Research, Springer, vol. 319(1), pages 911-936, December.
    7. Christopher M. Durugbo & Zainab Al-Balushi, 2023. "Supply chain management in times of crisis: a systematic review," Management Review Quarterly, Springer, vol. 73(3), pages 1179-1235, September.
    8. Serap Ergün & Pınar Usta & Sırma Zeynep Alparslan Gök & Gerhard Wilhelm Weber, 2023. "A game theoretical approach to emergency logistics planning in natural disasters," Annals of Operations Research, Springer, vol. 324(1), pages 855-868, May.
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    10. Rodríguez-Espíndola, Oscar & Ahmadi, Hossein & Gastélum-Chavira, Diego & Ahumada-Valenzuela, Omar & Chowdhury, Soumyadeb & Dey, Prasanta Kumar & Albores, Pavel, 2023. "Humanitarian logistics optimization models: An investigation of decision-maker involvement and directions to promote implementation," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    11. 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.
    12. Patanjal Kumar & Sachin Kumar Mangla & Yigit Kazancoglu & Ali Emrouznejad, 2023. "A decision framework for incorporating the coordination and behavioural issues in sustainable supply chains in digital economy," Annals of Operations Research, Springer, vol. 326(2), pages 721-749, July.

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