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RESEARCH PRODUCT

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

Tina ComesTina ComesHossein BaharmandMatthieu Lauras

subject

Humanitarian LogisticsOperations researchComputer science0211 other engineering and technologiesTransportation02 engineering and technologyTemporary distribution centersMulti-objective optimizationHumanitarian logisticsReduction (complexity)Location–allocation problem[SPI]Engineering Sciences [physics]2015 Nepal earthquake0502 economics and businessImmediate responseBusiness and International ManagementMulti layerVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Civil and Structural Engineering050210 logistics & transportation021103 operations research05 social sciencesResponse timeMulti-objective optimizationWork (electrical)Location-allocationSudden onset

description

International audience; 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.

10.1016/j.tre.2019.05.002https://hdl.handle.net/11250/2649294