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

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

Transportation Research Part E: Logistics and Transportation Review, 2016, vol. 93, issue C, 485-509

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.

Keywords: Disaster management; Relief pre-positioning; Utility level; Efficacy; Balance; Multi-objective optimization (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (28)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:transe:v:93:y:2016:i:c:p:485-509

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DOI: 10.1016/j.tre.2016.07.003

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