Chapter
Oct 9, 2014
Routing Design for Emergency Supplies Based on Multi-Objective Programming
Authors: Shaoquan Ni, Juan Yu [email protected], and Qinglun Zhong [email protected]Author Affiliations
Publication: ICLEM 2014: System Planning, Supply Chain Management, and Safety
Abstract
This article applies a quantitative method to the design route for emergency supply transportation. A qualitative evaluation is applied to all roads for road condition evaluation, and the ones with relatively optimal road conditions are chosen as standby roads for emergency supply transportation routes. The costs for the emergency supply transportation are minimized and the degree of satisfaction for the people who receive emergency supplies is maximized, constructing a multi-objective model for emergency supply route design. Finally, we found an effective solution to the problem based on a simulated annealing algorithm according to the features of emergency routing. Furthermore an assessment of effectiveness was performed through a case study.
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© 2014 American Society of Civil Engineers.
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Published online: Oct 9, 2014
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Shaoquan Ni
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China; National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, 610031; National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Chengdu, China, 610031
Zhengzhou Chenggong University of Finance and Economics, Zhengzhou, China; School of Transportation and Logistics Southwest Jiaotong University Chengdu, China; National Railway Train Diagram Research and Training Center, Southwest Jiao Tong University, Chengdu, China, 610031; National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Chengdu, China, 610031. E-mail: [email protected]
School of Transportation and Logistics, Southwest Jiaotong University, Chengdu, China; National Railway Train Diagram Research and Training Center, Southwest Jiaotong University, Chengdu, China, 610031; National and Local Joint Engineering Laboratory of Comprehensive Intelligent Transportation, Chengdu, China, 610031. E-mail: [email protected]
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