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

• Main Authors: Wapee Manopiniwes, Takashi Irohara
• Format: Journal
• Published: 2018
• Subjects: Decision Sciences; Engineering; Agricultural and Biological Sciences
• Online Access: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84982824299&origin=inward; http://cmuir.cmu.ac.th/jspui/handle/6653943832/46491
• Institution: Chiang Mai University

© 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.