Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response

Wapee Manopiniwes and Takashi Irohara

International Journal of Production Research, 2017, vol. 55, issue 4, 979-996

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.

Date: 2017
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DOI: 10.1080/00207543.2016.1211340

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