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基于灰色关联的应急物流最优路径选择.docx

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基于灰色关联的应急物流最优路径选择 Title:OptimalPathSelectionforEmergencyLogisticsBasedonGreyRelationalAnalysis Introduction: Inrecentyears,emergencylogisticshasbecomeanessentialfieldofstudyduetotheincreasedfrequencyofnaturaldisasters,accidents,andotherunforeseeneventsthatdisruptthesupplychain.Thetimelyandefficientdeliveryofessentialgoodsandservicesduringemergenciesplaysacrucialroleinminimizinglossoflifeandproperty.Selectingtheoptimalpathforemergencylogisticsbecomescriticalinensuringpromptresponseandeffectivereliefoperations.ThispaperproposestheuseofGreyRelationalAnalysis(GRA)asadecision-makingtoolfordeterminingthemostsuitablepathforemergencylogistics. 1.Background: 1.1Definitionofemergencylogistics 1.2Importanceofselectingtheoptimalpath 1.3Challengesinemergencylogisticspathselection 2.GreyRelationalAnalysis(GRA): 2.1OverviewofGRA 2.2ApplicationofGRAinlogisticsdecision-making 2.3AdvantagesofGRAinemergencylogisticspathselection 3.FactorsConsideredinPathSelection: 3.1Distanceandtraveltime 3.2Roadconditionsandaccessibility 3.3Resourceavailabilityanddemand 3.4Infrastructureresilienceandcapacity 3.5Safetyandsecuritymeasures 4.Methodology: 4.1Datacollectionandpreprocessing 4.2Greyrelationalgeneration 4.3Calculationofgreyrelationalcoefficient 4.4Rankingandselectionoftheoptimalpath 5.CaseStudy: 5.1Descriptionoftheemergencyscenario 5.2Selectionofvariablesanddatacollection 5.3ApplicationofGRAtotheemergencylogisticspathselection 5.4Evaluationandcomparisonofalternativepaths 5.5Selectionoftheoptimalpath 6.ResultsandDiscussion: 6.1ComparisonofalternativepathsbasedonGRA 6.2Assessingthesuitabilityoftheselectedoptimalpath 6.3Sensitivityanalysisandrobustnessoftheresults 7.Conclusion: 7.1Summaryoftheresearchfindings 7.2Contributionsandimplicationsofthestudy 7.3Limitationsandfutureresearchdirections Inconclusion,thispaperexplorestheapplicationofGreyRelationalAnalysis(GRA)asadecision-makingtoolforselectingtheoptimalpathforemergencylogistics.Byconsideringvariousfactorssuchasdistance,roadconditions,resour