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dc.contributor.authorDu, Miaomiao
dc.contributor.authorYi, Hua
dc.identifier.citationDu, Miaomiao; Yi, Hua. Research on multi-objective emergency logistics vehicle routing problem under constraint conditions. "Journal of Industrial Engineering and Management", Abril 2013, vol. 6, núm. 1.
dc.description.abstractPurpose: 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.
dc.format.extent9 p.
dc.publisherSchool of Industrial and Aeronautic Engineering of Terrassa (ETSEIAT). Universitat Politècnica de Catalunya (UPC)
dc.rightsAttribution-NonCommercial 3.0 Spain
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Modelització de transports i logística
dc.subject.lcshAccidents -- Management -- Mathematical models
dc.subject.otherEmergency Logistics
dc.subject.otherRoad Congestion
dc.subject.otherUnilateralism Time Window
dc.subject.otherVehicle Routing Problem
dc.subject.otherGenetic Algorithms
dc.titleResearch on multi-objective emergency logistics vehicle routing problem under constraint conditions
dc.subject.lemacAccidents -- Direcció i administració -- Models matemàtics
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.authorDu, Miaomiao; Yi, Hua
local.citation.publicationNameJournal of Industrial Engineering and Management

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