Research on multi-objective emergency logistics vehicle routing problem under constraint conditions
<p><strong><em>Purpose:</em></strong> Aim at choosing a relative good vehicle routing in emergency conditions under constraint conditions when disaster happens. Rapid response and rescue can save a lot of people.</p> <p><strong><em>Design/methodo...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
OmniaScience
2013-03-01
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Series: | Journal of Industrial Engineering and Management |
Subjects: | |
Online Access: | http://www.jiem.org/index.php/jiem/article/view/670 |
Summary: | <p><strong><em>Purpose:</em></strong> Aim at choosing a relative good vehicle routing in emergency conditions under constraint conditions when disaster happens. Rapid response and rescue can save a lot of people.</p> <p><strong><em>Design/methodology/approach:</em></strong> Modeling analysis: establishing a mathematical model of multi-objective emergency logistics vehicle routing problem. And in end of the paper, we intend to use genetic algorithms to solve the problem.</p> <p><strong><em>Findings:</em></strong> Considering time requirement and cost limit both while choosing vehicle routing when the disasters happens is meaningful. We can get a relative good result and give a guidance to rescue teams.</p> <p><strong><em>Originality/value:</em></strong> Consider cost and time objectives and kinds of realistic conditions (such as the road congestion) in the model when solving the problem, having expanded the theory scope.</p><br /> |
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ISSN: | 2013-8423 2013-0953 |