Purpose: 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. Design/methodology/approach: 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. Findings: 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. Originality/value: 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. ; Peer Reviewed
Research on multi-objective emergency logistics vehicle routing problem under constraint conditions
2013-04-01
Article (Journal)
Electronic Resource
English
Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Modelització de transports i logística , Accidents -- Management -- Mathematical models , Emergency Logistics , Road Congestion , Unilateralism Time Window , Vehicle Routing Problem , Genetic Algorithms , Accidents -- Direcció i administració -- Models matemàtics
DDC: | 629 |
Research on multi-objective emergency logistics vehicle routing problem under constraint conditions
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