An approximation approach to a trade-off among efficiency,efficacy, and balance for relief pre-positioning in disaster management |
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| Institution: | 1. Department of Industrial Engineering, University of Science and Technology of Mazandaran, Behshahr, Iran;2. School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran;3. Brunel Business School, Brunel University London, United Kingdom;1. Department of Statistics and Operations Research, University of Vienna, Oskar-Morgenstern-Platz 1, Vienna A-1090, Austria;2. Mobility Department, Dynamic Transportation Systems, Austrian Institute of Technology, Austria |
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| 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. |
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| Keywords: | Disaster management Relief pre-positioning Utility level Efficacy Balance Multi-objective optimization |
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