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dc.contributor.authorSheng, Liu
dc.contributor.authorWen-Jing, Tan
dc.contributor.authorGuo-Dong, Yu
dc.contributor.authorFei, Li
dc.date.accessioned2016-03-30T14:02:30Z
dc.date.available2016-03-30T14:02:30Z
dc.date.issued2015-12
dc.identifier.citationSheng, Liu [et al.]. An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas. "Journal of Industrial Engineering and Management", Desembre 2015, vol. 8, núm. 5, p. 1576-1601.
dc.identifier.issn2013-0953
dc.identifier.urihttp://hdl.handle.net/2117/84889
dc.description.abstractPurpose: Frequent sudden-onset disasters which have threatened the survival of human and the development of society force the public to pay an increasing attention to emergency management. A challenging task in the process of emergency management is emergency dispatch of reliefs. An emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas is proposed in this paper to dispatch reliefs reasonably and reduce the effect of sudden-onset disasters. Design/methodology/approach: Firstly, quantitative assessment on the urgency of the requirement for reliefs in different disaster areas is done by an evaluation method based on Fuzzy Comprehensive Evaluation and improved Evidence Reasoning which is proposed in this paper. And then based the quantitative results, an emergency dispatch model aiming to minimize the response time, the distribution cost and the unsatisfied rate of the requirement for reliefs is proposed, which reflects the requests of disaster areas under emergency, including the urgency of requirement, the economy of distribution and the equity of allocation. Finally, the Genetic Algorithm is improved based on the adaptive crossover and mutation probability function to solve the emergency dispatch model. Findings: A case that the Y hydraulic power enterprise carries on emergency dispatch of reliefs under continuous sudden-onset heavy rain is given to illustrate the availability of the emergency dispatch model proposed in this paper. The results show that the emergency dispatch model meets the distribution priority requirement of disaster area with the higher urgency, so that reliefs are supplied more timely. Research limitations/implications: The emergency dispatch model faced to large scale sudden-onset disasters is complex. The quantity of reliefs that disaster area requires and the running time of vehicles are viewed as available information, and the problem that how to obtain the information is not considered. Practical implications: The emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas is applicable to a realistic emergency dispatch of reliefs under sudden-onset disasters and the research results is the foundation of further research on the problem of emergency management. Originality/value: This paper proposes emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas which can meet the realistic requirement that the disaster area with the higher urgency has an priority to obtain the reliefs and make reliefs be distributed timely.
dc.format.extent26 p.
dc.language.isoeng
dc.publisherOmniaScience
dc.rightsAttribution-NonCommercial 3.0 Unported
dc.rights.urihttp://creativecommons.org/licenses/by-nc/3.0/
dc.subjectÀrees temàtiques de la UPC::Economia i organització d'empreses::Gestió i direcció
dc.subject.lcshEmergency management
dc.subject.lcshComputer algorithms
dc.subject.otherSudden-onset disaster
dc.subject.otherUrgency of the requirement for reliefs in different disaster areas
dc.subject.otherEmergency dispatch
dc.subject.otherAdaptive genetic algorithm
dc.titleAn emergency dispatch model considering the urgency of the requirement for reliefs in different disaster areas
dc.typeArticle
dc.subject.lemacGestió d'emergències
dc.subject.lemacAlgorismes genètics
dc.identifier.dlB-28744-2008
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
local.citation.publicationNameJournal of Industrial Engineering and Management
local.citation.volume8
local.citation.number5
local.citation.startingPage1576
local.citation.endingPage1601


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