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.

Original languageEnglish
Pages (from-to)86-110
Number of pages25
JournalTransportation Research Part E: Logistics and Transportation Review
Volume127
DOIs
Publication statusPublished - 1 Jul 2019

    Research areas

  • 2015 Nepal earthquake, Humanitarian logistics, Immediate response, Location–allocation problem, Multi-objective optimization, Temporary distribution centers

ID: 54001659