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Title: Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response
Authors: Wapee Manopiniwes
Takashi Irohara
Authors: Wapee Manopiniwes
Takashi Irohara
Keywords: Business, Management and Accounting;Decision Sciences;Engineering
Issue Date: 16-Feb-2017
Abstract: © 2016 Informa UK Limited, trading as Taylor & Francis Group. 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.
ISSN: 1366588X
Appears in Collections:CMUL: Journal Articles

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