Title: An emergency logistics distribution approach for quick response to urgent relief demand in disasters
Authors: Sheu, Jiuh-Biing
運輸與物流管理系 註:原交通所+運管所
Department of Transportation and Logistics Management
Keywords: logistics;emergency logistics distribution;relief demand forecasting;fuzzy clustering;multi-objective optimization
Issue Date: 1-Nov-2007
Abstract: Quick response to the urgent relief needs right after natural disasters through efficient emergency logistics distribution is vital to the alleviation of disaster impact in the affected areas, which remains challenging in the field of logistics and related study areas. This paper presents a hybrid fuzzy clustering-optimization approach to the operation of emergency logistics co-distribution responding to the urgent relief demands in the crucial rescue period. Based on a proposed three-layer emergency logistics co-distribution conceptual framework, the proposed methodology involves two recursive mechanisms: (1) disaster-affected area grouping, and (2) relief co-distribution. Numerical studies with a real large-scale earthquake disaster occurring in Taiwan are conducted, and the corresponding results indicate the applicability of the proposed method and its potential advantages. We hope that this study can not only make the proposed emergency logistics system available with more benefits to the development of emergency logistics systems for the urgent needs of disaster areas around the world but also stimulate more excellent researches concerning emergency logistics management. (C) 2007 Elsevier Ltd. All rights reserved.
URI: http://dx.doi.org/10.1016/j.tre.2006.04.004
http://hdl.handle.net/11536/10157
ISSN: 1366-5545
DOI: 10.1016/j.tre.2006.04.004
Journal: TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW
Volume: 43
Issue: 6
Begin Page: 687
End Page: 709
Appears in Collections:Articles


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