期刊
TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
卷 93, 期 -, 页码 485-509出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tre.2016.07.003
关键词
Disaster management; Relief pre-positioning; Utility level; Efficacy; Balance; Multi-objective optimization
类别
资金
- Campus France in Iran [851042C]
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 s-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. (C) 2016 Elsevier Ltd. All rights reserved.
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