基于供应链的库存管理的研究

上海交通大学硕士学位论文基于供应链的库存管理的研究姓名：全锋申请学位级别：硕士专业：物流工程指导教师：李树刚;许东20080401IAIIABC/FMR:,IIISTUDYONSTOCKCONTROLBASEDONSupplyChainManagementABSTRACTWiththedevelopmentofcomputerInternetandLogisticsLogisticsinformationflowandcapitalflowhavegainedafastincrease.Thedemandofmultiplicityandpersonalizedofuserandthemarketuncertainlymaketheenterprisetohavearaisingcompetitionadvantage.Undertheenvironmentofeconomicandinformationglobalizationmarketthatisbecamemoreandmoreintense,productlifecycle(PLC)isshorter,therequirementofproductqualityanddeliveryperiodforcustomerishigher,theexpectationofproductandserviceishigher.Managementpatternandmanufacturingmethodofproductionintheenterpriseofourcountryneedanewdirectiontodevelop.Thecompetitionofenterprisehasbecomethecompetitionofsupplychain.Theresearchanddevelopmentoftheoryonsupplychainmanagement(SCM)andthestrategyandcontrollingofstockundertheenvironmentwillbringanewvigor.Thisthesishasresearchedinventorycontrolbasedonsupplychainmanagementthroughthemethodoftheoryandpracticecombination.IthasanalyzedtheprobleminstockintheenterpriseinourcountryundertheenvironmentofSCMandputforwardthemethodofitssolution,aswellas,havediscussedthedifferentcontrollingstrategyinstockoneverylinkintheentireofsupplieschainafteranalyzedthepresentsituationofresearchonSCMandtheoryandanalyzedtheconflictsofrunningpatternsandmethodsincurrententerprises.ThisthesisispurposedtofindouttheissueinAcompanyinventorycontrolprojectbasedonlotofrawdataanalysisbysupplychainmanagementandinventorymanagementprinciple;atthesametime,findoutthemethodtosolvetheissueofinventorycontrol,finalitcanreducetheinventorylevelandimprovecustomerservicelevelmoreeffective.IVFinalthisthesisismainlytoanalizeanddescripetheissueofforecastmethod,forecastaccuracy,safetystockcalculation,economicorderquantitycalculation,thentofindtheroutingcourse.fordemandforecastiskeyconceptforaccuratesupplychaindatabaseandmodelinstruction.Theinstructionofforecastmodelreliesonasystem,whichcanprovidedetailedhistorysalesdataandanalyzingseasonalityandtrend.Apowerfulsystemandhelponforecastitself,criticizetheresultandreducetheforecastdeviation.Purchasingleadtimeismainlydeterminedbytransportationmode.stockreplenishmentbasedonbesttransportationmodecanmakeservicemuchmorecompletive.It’sbenefitforreducinglogisticscostinsupplychainandimproveoperationefficiency.KEYWORDS:SupplyChainManagement,Forecast,SafetyStock,EOQ()31.1[1][2](MaterialRequirementsPlanningMRP)(JustinTimeJIT):(1);(2);(3);(4);(5);(6);(7);(8);(9)Web75%35%45%:3%7%430%::[3][4][5]:[6][7][8](1):5(2)Internet/Intranet/Extranet:(3)(Marshal1L.FISher)1997:(4).(5):..6(6)FedexUPSInternetWbe:.CADHTMLHTMLwebPDM(7)1995WalMartWarnerLambertSAP5CPFRCPFR71.2A130A1:1figure1Traditionallogisticsflow,PlantCustomerABCABC882042,2figure2Logisticsflowofdistributioncenter11.3ADestributionCenterPlantCustomerABCABC9:(1)(2)(3)(4)102.12.1.12080HauL.Lee(1992,1995)Stevens1993Evens(1994)Harrision1996Phillip1996Wjndell1995[10]HauL.LEE2-13------113figure3SupplyChainStructureModel2.1.2123452.1.3/12/////():(EfficientsupplyChain)(ResponsiveSupplyChain);1232.2:()[11]13:(1)()(2):3:(1)(2):(3)2.3SCM2.3.1EvensPhilip.-[12]142.3.2SCM12345678Internet/Intranet12342.3.3[13]15202080---2090---2090---2.4:Inventorystock[14]16:(1)?(2)?(3)?(4)?:(1):(2):(3)()2.4.1[15]4:(QR);(RS);(tS);(tRS)44.1.(QR)4(QR):RQQRLT4(QR)figure4Strategyof(Q,R)2.(RS)(QR)RSI(S-I)(QR)3tS17SIS-I5tI1(S-I1)(LT)(S-I1)At(S-I2)(LT--)BSS-I1BAS-I2I1I2LTttt5(tS)figure5Stratetyof(t,S)4.(tRs)SCDS-I3GS-I1AF6(tRs)figure6Strategyof(tRs)(tS)(RS)618tSRt2-4ARSI:(S-1.)BCDE(S-I3)2.4.2[16]2.4.2.1(1)(PeriodReviewModel)6T=HDCR22-1CR();H(/.)D()(/):S=TxD(2)(ContinuousReviewModel)(QR)::;;;;(EOQ)Q=HDCR22-2::R=LTxDCR---();H----(/.);D----()(/);19LT----2.4.2.21;()::(1)(2)(3)h[0oc]ppc(4)F(x)f(x)x=O(5)xSSx=S(SS)2n(1noc)nnDF(x)f(x)x0()n()n{(sjSj)j=1n}jxxsjSj20(1)()()(2):(sQ)Q(sQ)sQ:;:34::;2.5[17]2.5.1ATJITJIT;21.2.5.2()2.5.3:(l)22(1)(3).(4)1102202.5.4VMI(VendorManagedInventoryVMI)VMIVMI2.5.4.1VMI(1)()()(2)()VMI(3)()23(4)VMIVMI2.5.52.5.5.1VMIVMI;;VMIJMIJMIJMI():(1).(2)(3)(4)(5)JMIJMIJMIVMIJMI242.5.5.21.(1)(2)(3)POSEDI(4)()2.JMI(1)JMI;EDI:25(2)JMIJMI:;;:;;(3)JMIJMIJMI2.6[18]:::;1.2.3.264.2.6.1[19]2.6.1.11,2():.2.6.1.2271.1)2)3)4)(1)(movingaverage)(2)(exponentialAmoothing)()tttSYSαα−+=+112-3281+tSt+1tSttYtα(0α1)0.0122.6.229=1)MDMD,2-4()nMDnii∑==124n——2-5~2-5n2)MDMAD,2-5:nMADnii∑==1253)MAEMAE,2-6:()nMAEnii∑==1226MADMAEMDMADMAEMADMAE2.7302.8[20]2.9EOQ12331A3.1,[21]Alford-BangAA31323-1%1Interest4.32storagefacility8.03Taxes3.54Insurance0.25Overstock5.06Depreciation3.07Damage0.58Loss0.59(Total)25%A2007A3-23-22007A2007A2050034%18617%225451%316032%96064%144046%218019%324025%117071%27029%4808%5121%681%302%1490100%333-32007A2007A11490212000312.4%3-32007A12.4%A2006[27]3-42006200617.5%29.1%34.2%47.3%57.1%67.04%3-4A3.2343.2.1A2496%4-1317A2007200795.76UCLLCL97.1093.794%200790.00%91.00%92.00%93.00%94.00%95.00%96.00%97.00%98.00%99.00%100.00%1234567891011127figure7CustomerOrderServiceLevel3.2.220%82007ABC35-60%-40%-20%0%20%40%60%80%100%ABCUCLLCL8fig