紧急救援
人道主义后勤
应急管理
自然灾害
应急响应
模糊逻辑
分布(数学)
聚类分析
比例(比率)
业务
计算机科学
运筹学
风险分析(工程)
运营管理
过程管理
工程类
医疗急救
地理
气象学
人工智能
数学分析
机器学习
法学
医学
地图学
数学
政治学
标识
DOI:10.1016/j.tre.2006.04.004
摘要
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.
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