Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response
© 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...
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th-cmuir.6653943832-568632018-09-05T03:38:58Z Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response Wapee Manopiniwes Takashi Irohara Business, Management and Accounting Decision Sciences Engineering © 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. 2018-09-05T03:31:16Z 2018-09-05T03:31:16Z 2017-02-16 Journal 1366588X 00207543 2-s2.0-84982824299 10.1080/00207543.2016.1211340 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84982824299&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56863 |
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Business, Management and Accounting Decision Sciences Engineering Wapee Manopiniwes Takashi Irohara Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
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© 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. |
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Wapee Manopiniwes Takashi Irohara |
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Wapee Manopiniwes Takashi Irohara |
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Wapee Manopiniwes |
title |
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
title_short |
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
title_full |
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
title_fullStr |
Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
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Stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
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stochastic optimisation model for integrated decisions on relief supply chains: preparedness for disaster response |
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2018 |
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https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84982824299&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/56863 |
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