Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
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Authors: | Wapee Manopiniwes Takashi Irohara |
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Affiliation: | 1. Faculty of Science and Technology, Sophia University, Tokyo, Japan;2. College of Arts Media and Technology, Chiang Mai University, Chiang Mai, Thailand |
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Abstract: | This paper proposes a stochastic linear mixed-integer programming model for integrated decisions in the preparedness and response stages in pre- and post-disaster operations, respectively. We develop a model for integrated decisions that considers three key areas of emergency logistics: facility and stock prepositioning, evacuation planning and relief vehicle planning. To develop a framework for effective relief operations, we consider not only a cost-based but also an equity-based solution approach in our multiple objectives model. Then a normalised weighted sum method is used to parameterise our multiple objective programming model. This paper suggests a compromise between the cost, and the equity of relief victims. The experiments also demonstrate how time restrictions and the availability of relief vehicles impact the two objective functions. |
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Keywords: | supply chain management humanitarian logistics multi-objective programming stochastic programming optimisation |
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