Modeling Supply Chain Logistics Design Problem for Emergency Relief Management

Jae D. Hong, South Carolina State University
Ki Young Jeong, University of Houston - Clear Lake

ABSTRACT
This paper considers better disaster preparedness and improved emergency response through the emergency relief supply chain (ERSC) design. We formulate a goal programming model for ERSC design problem, which consists of finding the optimal emergency response facility (ERF) location and allocation scheme among ERFs. Our model developed in this paper considers a tradeoff among the minimum logistics cost, minimum disrupted items, and the maximum number of covered demand. We construct an Excel spreadsheet model based on the formulation and solve it by Excel Risk Solver Platform. A case study is conducted to demonstrate the developed model's capability.

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Updated 03/19/2014