Evaluating the Effectiveness of Pre-Positioning Policies in Response to Natural Disasters

Jarrett Chapman, Lauren B. Davis, Funda Samanlioglu and Xiuli Qu
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Jarrett Chapman: North Carolina A&T State University, Greensboro, NC, USA
Lauren B. Davis: North Carolina A&T State University, Greensboro, NC, USA
Funda Samanlioglu: Kadir Has University, Istanbul, Turkey
Xiuli Qu: North Carolina A&T State University, Greensboro, NC, USA

International Journal of Operations Research and Information Systems (IJORIS), 2014, vol. 5, issue 2, 86-100

Abstract: Recent natural disasters highlight the complexities associated with planning, coordination and distribution of supplies in a manner which provides timely and effective response. In this paper, the authors present a model to quantify the benefits associated with pre-positioning local supplies. They assume the supplies are in a high-risk location and may be destroyed if an appropriate strategy to protect the supplies is not implemented. A stochastic linear programming model is developed where the first-stage decision pre-positions existing supplies to minimize the supply loss. Second-stage decisions attempt to maximize the responsiveness of the system by allocating supplies to satisfy demand. The benefits associated with pre-positioning versus non-pre-positioning are discussed.

Date: 2014
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Persistent link: https://EconPapers.repec.org/RePEc:igg:joris0:v:5:y:2014:i:2:p:86-100

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