您好,欢迎访问三七文档
当前位置:首页 > 商业/管理/HR > 资本运营 > 基于VMI供应商配额的拣货策略研究
上海交通大学硕士学位论文基于VMI供应商配额的拣货策略研究姓名:王爱华申请学位级别:硕士专业:物流工程指导教师:陈峰;顾新华20090501IVMIVMIVMIIIVMIIIIResearchOnVendorRatioAllocationStrategyBasedOnVMIModeABSTRACTVendorRatioisoneofthemainstrategiesfortheJITmanufacturing.Thepaperresearchesontheoptimizedsolutionforbasedonthevendorratioallocationoutboundprocessing.Tomakeatargetofquotabalance,consideringthetimeperiodoftheorders,quotavalue,theorderrequirementquantity,thepaperprovidethevalidsolutionandcomputerizethefuctioninwarehousemanagementsystem.Firstly,thepaperdescribestheoriginalstatusofthecompanyandtheexistingproblem.Theresearchdirectionisbroughtoutbasedonthebackground.Secondly,thepaperintroducestherelationshipamongthe3PL,vendorsandcustomer.Theconceptthevendorratioandvendorratioarrangementandallocationstrategyiselicitedbecauseofthemultiplevendorsandmultiplesources.Thirdly,thepaperemphasisisthatinthethirdpartylogisticscompany,howtodothevendorquotaarrangementaccordingtothevendorquotamasterdatafromcustomer?Inthatwayitcouldbefairandsquaretothevendors.ViatheworkflowoftheIVoutboundprocess,theallocationstrategyisdesigned,appliedandimproved.Meanwhilethelogicismadeclearerbythesamples.Inpreviousprocess,thecustomerassignedthevendorwhentheorderthecommodity.Andnowit’snoneedtoassignthevendorwhencustomersendstheordersto3PL.TheWMSwillselecttherightvendorautomatically.Theallocationlogicisbasedonfromconsumedquantityandvendorratiotoextratheorderrequiredquantityconsidered.Finally,thepaperconcludestheresearchresultandmainwork,anddoesthefurtherviewinthefuture.KEYWORDS:vendorquotaarrangement,thirdpartylogistics,vendormanagedinventory(VMI),allocationstrategy□□“√”11.1[3]1.1.1“”2[30]“”“”“”9031.1.21015765824336272342009500“”41.1.35“”1.1.419666701981304,3002008GottfriedSchenker18722,00060,000//VMIVMIVMI1)1248413151211262111,1295.6%50%50%VMI7VMIVMI12611110102040608010012014012341Fig.1ThenumberofvendorsforSKU2)220091120094311502000501001502002503002009112009182009115200912220091292009252009212200921920092262009352009312200931920093262009422009492009416200942320094302200914Fig.2ThenumberofshipmentordersfromJan.toApr.in20093)8VMIVMIVMIVMIVMI1.21.2.1VMI1)2)1.2.29VMIVMIVMI1.2.3VMI1)Internet2)3)1.310VMIVMI11VMI[4]VMI2.12.1.1[1]1)VMI122)a)b)1:VMI131111122223332.1.2SRMSupplierRelationshipManagementVMI14[4]“”CPO“”AMRResearchPierreMitchell“”“”VMI151)J.C.Penny2)IBMPowerPC3)2.2(VMI)VMI162.2.1VMIVendorManagedInventoryVMIVendorManagedInventoryVMIVMI2.2.2VMIABVMIVMIABVMIVMI-()--VMIVMI17VMI1)VMI199%VMIHUBVMIHUBVMIHUBVMIHUBVMIHUBVMIHUBVMIVMIHUBVMIHUBVMIHUBVMIVMIHUBVMI18VMIHUBCross-Docking2)VMI31MRPVMIWal-MarketVMIHUB2.2.3VMIVMIVMIVMI1)VMI19VMI2)VMI3)VMIVMI202.2.4VMIVMIHUBVMIHUBa)b)c)VMId)Internete)VMI21VMI3PLf)2.32.3.1VMI22[1]ERP2.3.211)SplittingQuotaArrangement2)AllocationQuotaArrangementVMI232.3.3VMI1)2)3)4)2.3.41)02)03)4)2.4VMIVMI24VMI253.13.1.1FIFOERP3.1.21)2)263)4)3.23.2.1=*1)2PE000000012009-02-01SKU0000001VendorA70%PE000000012009-02-01SKU0000001VendorB30%PE000000012009-02-01SKU0000002VendorA100%2)31SO000000012009-04-01SKU000000150003)A=*A275000×703500B=*B5000×3015003.2.21)2)3)3.33.3.11)2)/A80%B20%284AB80200011000/*0=0()=01,00001,000025000000/1,000/50=20=0()05000,0001,0005000,0000.02%99.98%80203.3.2(+)/,295AB8020001,1000(+)/1000/100011000/1000=11-80%=0.2()1-20%=0.8100001000025000000(+)/5001000/5001000=15000000/5001000=0.99981-80%=0.2()0.9998-20%=0.79985000000050010000100%0A3.3.31)6ABC5030200003011000/*00()0010000010000021500/1000/70=14.2860/30=0()0/20=00150001000150003200/1000/70=14.2861500/30=500/20=0()00200100015002004800/1000/70=14.2861500/30=50200/20=10()008001000150010005600/1000/70=14.286()1500/30=501000/20=50600001600150010006300/1600/70=22.857()1500/30=501000/20=5030000311900150010001900/4400=43.2%1500/4400=34.1%1000/4400=22.7%2)7ABC50302000011000(+)/1000/1000=11000/1000=11000/1000=11-50%=0.5()1-30%=0.71-20%=0.810000010000021500(+)/(1000+1500)/(1000+1500)=11500/(1000+1500)=0.61500/(1000+1500)=0.61-50%=0.50.6-30%=0.3()0.6-20%=0.40150001000150003200(+)/(1000+200)/(1000+1500+0+200)=0.444(1500+200)/(1000+1500+0+200)=0.630(0+200)/(1000+1500+0+200)=0.0740.444-50%=-0.0560.630-30%=0.3300.074-20%=-0.126()3200200100015002004800(+)/(1000+800)/(1000+1500+200+800)=0.514(1500+800)/(1000+1500+200+800)=0.657(200+800)/(1000+1500+200+800)=0.2860.514-50%=0.014()0.657-30%=0.3570.286-20%=0.08680000180015002005600(+)/(1800+600)/(1800+1500+200+600)=0.585(1500+600)/(1800+1500+200+600)=0.512(200+600)/(1800+1500+200+600)=0.1950.585-50%=0.0850.512-30%=0.2120.195-20%=-0.005()00600180015008006300(+)/(1800+300)/(1800+1500+800+300)=0.477(1500+300)/(1800+1500+800+300)=0.409(800+300)/(1800+1500+800+300)=0.250.477-50%=-0.023()0.409-30%=0.1090.25-20%=0.0530000210015008002100/4400=47.7%1500/4400=34.1%800/4400=18.2%3)233343.2%34.1%22.7%47.7%34.1%18.2%50%30%20%15%20%25%30%35%40%45%50%55%50.0%30.0%20.0%43.2%34.1%22.7%47.7%34.1%18.2%ABC3Fig.3vendorratiodifferenceconsideringtheorderrequiredquantity4)/220/(+)/-3.3.4348ABC50302000020001200120011000(+)/1000/1000=11000/1000=11000/1000=11-50%=0.5()1-30%=0.71-20%=0.810000010000010001200120021500(+
本文标题:基于VMI供应商配额的拣货策略研究
链接地址:https://www.777doc.com/doc-822018 .html