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Designing a humanitarian relief network considering governmental and non-governmental operations under uncertainty

Author

Listed:
  • Seyed Reza Abazari

    (University of Tehran)

  • Fariborz Jolai

    (University of Tehran)

  • Amir Aghsami

    (University of Tehran
    K. N. Toosi University of Technology (KNTU))

Abstract

This study addresses a humanitarian supply chain network that includes locating relief centers, pre-positioning and distributing relief items, and providing medical treatment in affected regions to help people suffering. Also, the role of non-governmental organizations along with governmental organizations and disruption in relief centers is examined. The objective of the model is to minimize total costs. The problem is formulated as a mixed-integer linear mathematical model. A two-stage mixed fuzzy-stochastic approach is developed to capture the uncertainty. To solve the model on a large scale, grasshopper optimization algorithm is utilized, and its performance is examined through computational experiments. To assess the applicability of the proposed model, it is applied to Tehran as a real case study. According to the numerical examples and sensitivity analysis, fruitful managerial insights are provided to help decision-makers increase relief operations' efficiency. The results indicate that non-governmental organizations' contribution significantly enhances the performance of the humanitarian supply chain while disruption has an adverse impact.

Suggested Citation

  • Seyed Reza Abazari & Fariborz Jolai & Amir Aghsami, 2022. "Designing a humanitarian relief network considering governmental and non-governmental operations under uncertainty," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(3), pages 1430-1452, June.
    • Handle: RePEc:spr:ijsaem:v:13:y:2022:i:3:d:10.1007_s13198-021-01488-y
    DOI: 10.1007/s13198-021-01488-y
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    References listed on IDEAS

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