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

Seyed Reza Abazari (), Fariborz Jolai () and Amir Aghsami ()
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Seyed Reza Abazari: University of Tehran
Fariborz Jolai: University of Tehran
Amir Aghsami: University of Tehran

International Journal of System Assurance Engineering and Management, 2022, vol. 13, issue 3, No 31, 1430-1452

Abstract: 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.

Keywords: Humanitarian supply chains; Relief chain; Rescue teams; Disruption; Uncertainty; Non-governmental and governmental organizations (search for similar items in EconPapers)
Date: 2022
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DOI: 10.1007/s13198-021-01488-y

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