Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters

Abstract : Locating distribution centers is critical for humanitarians in the immediate aftermath of a sudden-onset disaster. A major challenge lies in balancing the complexity and uncertainty of the problem with time and resource constraints. To address this problem, we propose a location–allocation model that divides the topography of affected areas into multiple layers; considers constrained number and capacity of facilities and fleets; and allows decision-makers to explore trade-offs between response time and logistics costs. To illustrate our theoretical work, we apply the model to a real dataset from the 2015 Nepal earthquake response. For this case, our method results in a considerable reduction of logistics costs.
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Hossein Baharmand, Tina Comes, Matthieu Lauras. Bi-objective multi-layer location–allocation model for the immediate aftermath of sudden-onset disasters. Transportation Research Part E: Logistics and Transportation Review, Elsevier, 2019, 127, pp.86-110. ⟨10.1016/j.tre.2019.05.002⟩. ⟨hal-02132634⟩

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