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

Hossein Baharmand, Tina Comes, Matthieu Lauras

Research output: Contribution to journalArticleScientificpeer-review

12 Citations (Scopus)
3 Downloads (Pure)

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.

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

Keywords

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

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