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
01.04.2013
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Genetic Algorithms , Emergency Logistics , Vehicle Routing Problem , Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Modelització de transports i logística , Accidents -- Direcció i administració -- Models matemàtics , Accidents -- Management -- Mathematical models , Unilateralism Time Window , Road Congestion
DDC: | 629 |
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