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

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  • Wapee Manopiniwes
  • Takashi Irohara

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.

Suggested Citation

  • Wapee Manopiniwes & Takashi Irohara, 2017. "Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 979-996, February.
    • Handle: RePEc:taf:tprsxx:v:55:y:2017:i:4:p:979-996
    DOI: 10.1080/00207543.2016.1211340
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    References listed on IDEAS

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