Multicriteria optimization approach to deploy humanitarian logistic operations integrally during floods

Christopher Mejia-Argueta, Juan Gaytán, Rafael Caballero, Julián Molina, Begoña Vitoriano

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)

Abstract

This paper addresses frequent and foreseeable floods in the short-term preparedness of an imminent event using a multicriteria optimization model integrated with a geographical information system to simulate flood levels, determine the best strategies, and update information. The proposed model takes into account the four main relief operations: location of emergency facilities (i.e., distribution centers, shelters, and meeting points), prepositioning of humanitarian aid, evacuation, and distribution of humanitarian aid. Three criteria are considered in the formulation to minimize: the maximum evacuation flow-time, the maximum distribution flow-time, and total cost of relief operations. The approximation to the efficient frontier is built using multiobjective programming through the use of commercial software. The usefulness and robustness of the model are verified using data from one of the worst Mexican floods considering various flood levels created from three key elements in humanitarian logistics. The strategies provided by the proposed methodology are compared with those implemented by the Mexican authorities during the studied disaster.

Original languageEnglish
Pages (from-to)1053-1079
Number of pages27
JournalInternational Transactions in Operational Research
Volume25
Issue number3
DOIs
Publication statusPublished - 1 May 2018

Keywords

  • efficient solution
  • humanitarian operations
  • multiple-objective programming
  • weighted-sum method
  • ε-constraint

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