逆向物流回收的车辆配置及路径优化研究

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1、北京交通大学硕士学位论文逆向物流回收的车辆配置及路径优化研究姓名：滕耘申请学位级别：硕士专业：系统工程指导教师：胡天军20080501ABSTRACTABSTRACT：Recently,withtheincreasingemphasisonresourcesandenviro衄entalissues，thereverselogisticsisgraduallybethefocusofattention，becauseitcanrealizetheresourcerecyclingofuselessgoodsandcallcontrolenvironm

2、entalpollutionefficiently．Transportationisanimportantcomponentofthereverselogistlcsactivities．andhowtoconfigurethenumberofvehicleandchoosetheroutingeffeciently,isthekeytoreducetransportcostsofreverselogistics．Asdemandforreverselogistlcsandthedispersionofthetime,location，size，we

3、ightandothercharacteristicsotuncenainty，makingreverselogisticsvehiclesdecisionandoptimizetheconfigutatlonaremorecomplexthanlogistics．Sowhendiscussethetheories，modelsandmethodsofvehiclesdispositionandpathoptimizationonthereverselogistics，weshouldecombmethecharacteristiesofrevers

4、elogistics．Intheviewofthis，thispapermodelandoptimizevehicledispositionandroutingoptimizationofrcverselogisticsoncertainanduncertainconditions．Paperisdividedintosixchapters．Thefirstchapterintroducedthethesistopics’background，meanmg，andstudyathomeandabroad．Thesecondchapterintrodu

5、cedtheconceptofr州erselogisticsanditsclassification，thecharacteristicsofdemandforreverselogisticsandanalysisthetypeanddescriptionnetwork．Chapter3ismainlyrelatedtointroductlonsofthebasictI啪riesaboutthereverselogisticsandvehicleroutingproblem·Inchaper4，mainlvmodel锄doptimizethedema

6、ndscertaincondition,minimumthecost，andwithallowingloading，capacityandalloweddistanceconstraints．Themodelissolvedbytheiml)roVeGeneticAlgorithms(GA)whichischosebythecomparisonofthedi丘打咖al∞rithms，andanalyzediversificationonparameters．Takingtherealityofthene。ds骶eoftenuncertainint0a

7、ccount，chapter5giveanuncertainmodel．ThemodelbasedOncuStomergoodsvolumeandqualitydemandforrecyclingofuncertainty,analyzeda11dsolvedbvtlleMax．MinAntColonyAlgorithms(MMACA)．BothmodelsgiveacasestudVInchaper6，summarytheresearchofthepaper,analysisandforecaststhefutureneedofthisstudya

8、nddevelopmentdirectionofthefuture·KEYwORDS：ReverseLogi