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1、JOURNALOFTRANSPORTATIONSYSTEMSENGINEERINGANDINFORMATIONTECHNOLOGYVolume12,Issue1,February2012OnlineEnglisheditionoftheChineselanguagejournalCitethisarticleas:JTranspnSysEng&IT,2012,12(1),1723.RESEARCHPAPEROptimizationofMixedCollaborativeDistributionwithDifferentPr
2、oductionModes1,2,3ZHANGLei*,KONGYanyan1PostdoctoralResearchStationofMechanicalEngineering,SouthwestJiaotongUniversity,Chengdu610031,China2CollegeofEconomics&Management,GuangxiTeachersEducationUniversity,Nanning530001,China3SchoolofInformationScience&Technology,Sout
3、hwestJiaotongUniversity,Chengdu610031,ChinaAbstract:Consideringdifferentproductionmodescausedbycharacteristicdifferencesofmarketdemandsofnewandoldproductions,themixedcollaborativedistributionofperishablenewandoldelectronicproductsunderdifferentproductionmodesisstud
4、iedinthispaper.First,thedemandfunctionwithpriceofdifferentconsumersurplusispresentedbyconsideringtheone-waysubstituteofoldproductsbynewones.Then,themixedcollaborativedistributionfunctionmodelisdevelopedaccordingtothecompositionofresponsetimeunderdifferentproduction
5、modes.Second,the0-1mixedintegernonlinearoptimizationmodelwithprofit-maximizationasobjectivefunctionisproposedtooptimizetheproductionandmixeddistributionofnewandoldproductsunderdifferentmodes.Inthelastsection,thesalesprice,productionscale,distributionmode,andotherde
6、cisionvariablesaredeterminedthroughsolution.KeyWords:logisticsengineering;mix-collaborativedistribution;mixedintegernonlinearoptimization;perishableproducts;demandsubstitution1Introductionproductsandtheircollaborativedistributionscanbefound.Twotraditionaldistributi
7、onmethods,thepoint-to-pointForproducts,lifecyclereductionandsharpvaluedecline(PTP)distributionandtheHUBmode,showobviouscausedbytheirrapidlybecomingupgradedareusuallyshortcomingswhenexclusivelyusedforoneproductionmode[1]definedastheperishablecharacteristics.Theseyea
8、rs,distribution.Hence,thecurrentstudycombinestheadvantagesconsiderableresearchesoncollaborativeoptimizationofofthesetwomethodsandfurtherconductsc
