Fuzzy Location and Routing Models for Emergency Logistics Distribution in Disaster Relief Operations
Emergency logistics management has emerged as a worldwide-noticeable theme as disasters, either artificial or natural, may occur anytime around the world with enormous consequences. A hybrid fuzzy clustering-optimization approach was presented to solve the large-scale disaster relief distribution problem with the main goal of minimizing the total number of fatalities. The proposed method mainly contains a three-phase operational routine. Here fuzzy clustering techniques are used in the first phase to classify the damaged areas based on respective relief demand attributes and priority, followed by the second and the third phase, where fuzzy linear programming is employed to deal with the facility location and vehicle routing problems. Finally, the applicability of the proposed method was demonstrated by a numerical example. The results show that the proposed method is feasible for emergency logistics distribution in disaster relief operations via appropriate disaster resource management and routing strategies.
disaster relief operations emergency logistics management fuzzy clustering fuzzy linear programming
DAI Ying MA Zujun
School of Economics and Management,Southwest Jiaotong University,Chengdu 610031,China College of Logistics,Southwest Jiaotong University,Chengdu 610031,China
国际会议
The 2008 International Symposium on Safety Science and Technology(2008年安全科学技术国际会议)
北京
英文
503-507
2008-09-24（万方平台首次上网日期，不代表论文的发表时间）