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An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management

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  • Rezaei-Malek, Mohammad
  • Tavakkoli-Moghaddam, Reza
  • Cheikhrouhou, Naoufel
  • Taheri-Moghaddam, Alireza

Abstract

This work develops a multi-objective, two-stage stochastic, non-linear, and mixed-integer mathematical model for relief pre-positioning in disaster management. Improved imbalance and efficacy measures are incorporated into the model based on a new utility level of the delivered relief commodities. This model considers the usage possibility of a set of alternative routes for each of the applied transportation modes and consequently improves the network reliability. An integrated separable programming-augmented ε-constraint approach is proposed to address the problem. The best Pareto-optimal solution is selected by PROMETHEE-II. The theoretical improvements of the presented approach are validated by experiments and a real case study.

Suggested Citation

  • Rezaei-Malek, Mohammad & Tavakkoli-Moghaddam, Reza & Cheikhrouhou, Naoufel & Taheri-Moghaddam, Alireza, 2016. "An approximation approach to a trade-off among efficiency, efficacy, and balance for relief pre-positioning in disaster management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 485-509.
    • Handle: RePEc:eee:transe:v:93:y:2016:i:c:p:485-509
    DOI: 10.1016/j.tre.2016.07.003
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