A fuzzy robust planning model in the disaster management response phase under precedence constraints

Sina Nayeri, Zeinab Sazvar () and Jafar Heydari
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Sina Nayeri: University of Tehran
Zeinab Sazvar: University of Tehran
Jafar Heydari: University of Tehran

Operational Research, 2022, vol. 22, issue 4, No 14, 3605 pages

Abstract: Abstract This study analyzes the rescue team assignment problem as a critical issue in disaster management rescue operations. A mathematical model is proposed to minimize the total weighted completion time of the relief operations. This model considers some real-world features, such as precedence constraints, time windows, and different types of vehicles, which have been rarely addressed in the literature collectively. To mitigate the risk of uncertainty, a fuzzy robust optimization method is developed to deal with uncertain parameters such as the severity level of incidents, relief times, and travel times. The proposed model is successfully examined on a real data set from a flood in Agh-Qala, Iran, and the results verify its applicability in real-world conditions. Since the proposed model is an NP-hard problem, a hybrid metaheuristic algorithm (a combination of genetic algorithm and particle swarm optimization) is developed to optimally solve it for large-scale instances. Numerical experiments show that the algorithm can find high-quality solutions in a reasonable time. Several sensitivity analyses are also performed on the main parameters, and some promising managerial insights for disaster management practitioners are derived.

Keywords: Disaster management; Precedence constraint; Time windows; Hybrid metaheuristic algorithm; Fuzzy robust optimization (search for similar items in EconPapers)
Date: 2022
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Citations: View citations in EconPapers (2)

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DOI: 10.1007/s12351-022-00694-1

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