您好,欢迎访问三七文档
当前位置:首页 > 商业/管理/HR > 销售管理 > 基于维修策略的服务备件库存控制研究
上海交通大学硕士学位论文基于维修策略的服务备件库存控制研究姓名:孙可斐申请学位级别:硕士专业:物流工程指导教师:周炳海;温燕红20090401IGDGDIISTUDYONINVENTORYCONTROLOFSERVICEPARTSBASEDONMAINTENANCEPOLICYABSTRACTThisthesisisbasedontheShanghaiGDCorporation’sprojectofInventoryOptimization.Combiningthedevelopmentofmaintenancepolicy,asuitedmethodisputforwardtooptimizetheinventorycontrolofserviceparts.Aftercompletelyreviewingthepreviousstudyconcerningservicepartsinventorycontrol,andthepracticalproblemcompanymeets,thisthesisstudiestheclassificationmethod,demandforecastingandstockcontrolofservicepartsbasedonthemaintenancepolicy.Maintenancepolicyshouldbeselectedreasonablysoastoreduceoperationcostandincreasethecustomersatisfaction.Threekindsofmaintenancepolicy,namelyafter-eventmaintenance,regularmaintenanceandstatemaintenance,arecomprehensiveappliedinaccordancewiththefailuremodesofserviceparts.Two-Phaseclassificationmethod,withthreekeyspecificationsofspareparts,namelyfunctionimportance,demandfrequencyandinventoryamount,isdevelopedtoclassifyspareparts.Thisthesisstudiesthemainfactorswhichinfluencethedemandofserviceparts.Differentmethodisapplicabletodifferentsituations.Generalmethodsofdemandforecastingaremalfunctionrate,Possiondistribution,lifedistributionfunctionofsparepartsandweightedmovingaverage.Then,thisthesisidiscussesthedifferentinventorystrategyaccordingtocharacteristicofspareparts.Forgeneralspareparts,thereareFixed-OrderQuantityModelandFixed-TimePeriodModel.Forthepartswithspecificlife-cyclefunction,thisthesisprovidesamethodtocalcitetheoptimalreorderpointandorderquantity.Finally,thethesisbrieftheentireprocessofinventoryoptimizationofShanghaiGDCorporation,whichsignificantlyincreasedtheinventoryturnrateandcustomerssatisfactionlevel.Inconclusion,themajorargumentsandresearchresultsaresummarizedandtheIIIlimitationofthisresearchandfutureresearchdirectionarediscussedThistheisiattemptstoprovideaneffectiveideasandmethodsforothercompaniesmajoredinthemaintenanceservice.KEYWORDS:MaintenancePolicy,Two-PhaseClassificationMethodwithMulti-factor,Life-cycleFunction,DemandForecasting,InventoryControl11.11.1.1AberdeenGroup1150.251020-30%40%8%8%[1],21.1.2UPS20032107%[2]50%1.1.3AberdeenGroup[1]1.1.4[3]31234100%1.290%GDP1/31.3//EOQROP,ABCMRP42090Botter[4]20001.3.160CM80(PredictiveMaintenance,PDM)90(ReliabilityCenteredMaintenance,RCM)90(TotalProductiveMaintenance,TPM)21[5](ReliabilityCenteredMaintenance,RCM)40-70%5-111231231231.3.2[6]2060AllenD’esopHllierPetertop-downCohenMooreDekkerBraglia6ABCABCAVEDV(vital)Eessential,Ddesirable,XYZXYZX1.3.3Sherbrooke[7]METRIC(Multi-echelonTechniqueforRecoverableItemControl)MuchstadtMETRICMOD-METRICKamath[8]BayesianCrostonRegattiteria20CrostonCroston[9]Johnston1.25Croston7Bootstrap2004WillemainWillemain9BootstrapCrostonIFMBootstrapIFM1.3.4(EOQQ)(P)[10]1.(Q,R)RQ2.(R,S)RSI(S-I)(Q,R)3.(t,S)8SI(S-I)GeldersVanLooy[11],,Silver[12],,HeyvaertHurt[13],1.4GDBPS200012345GD9GD2.1GDGD1998GDOnCallOnSite2.2-GD102008GD4-65-81/1.BPS20002007RMB990RMB73220070.2-1GD111Fig.1Averageinventorycosttrend20072BPS2000200717714581.92%-22Fig.2Customersatisfactionlevel32.3GD1oncallonsite81.92%4.52%13.56%GD1223934133.13[14].11234523-3143Fig.3Decision-makingflowofsparepartsmaintenancepolicy3.23.2.1[15]121/2131/215-2[15]23.2.2BPS2000BPS2000-421DM0120-5.DM07-698-38-3.164Fig.4Equipmentbreak-downstep1ItemCP154ItemDM01175DM01Fig.5DM01(deliverymodule01)break-down186DM07Fig.6DM07(Trailingedgeadjustmentmodule)break-down8-3.193105450011Trailingedgeadjustmentassy.132520001Motorwithsupport216857000Gearmotor24v102657021Denominationcheck-bachassy.106088000Pivotbearingeccentic106083000Deep-grooveballbearing133028000coupling106057000Roundnut3.33.3.1BPS200013865764262004200742-44101711001Rubber189.005.882month102230011Spiralstackerdisk1125.005.212month102240011Spiralstackerdisk2120.005.002month106211000SCREW106.004.422month100199001Pusher95.003.983month100619001BeltL=2950mm126.003.983month101817001Foldingslider95.003.963month192925000Lamp93.003.883month102671001Heatcartridgeassembly92.003.833month152465001BeltL=2043mm88.003.673month106083000Bearing83.003.463month152473001BeltL=808mm80.003.333.5month152463001BeltL=493M77.003.213.5month20187825000Halogen-Lampe(A)76.003.173.5month126805000Silencer72.003.004month101734001Strip68.002.834month108667001Insulant(leftsensorhalf)59.002.464.5month108728001Insulant(rightsensorhalf)57.002.385month152470001BeltL=673MM56.002.335month157443011UVlampforFLPsensor56.002.335month152469001ROUNDBELTL=712MM54.002.255month152471001Transportbelt(L=2345)54.002.255month211848001BeltL=1238mm53.002.215month225432011Foldingspring53.002.215month235860001CollectingPlate53.002.215month152466001BeltL=620MM51.002.135.5month181225000Filtercartridge51.002.135.5month105333001Temperatureregulator50.002.085.5month235910001FlatSpring46.001.926month152468001BeltL=436MM45.001.886month152472001BeltL=78145.001.886month152886001BeltL=373mm45.001.886month100610001Transportbelt(L=1355)42.001.756.5month100613001BeltL=770mm39.001.636.5month152565001Tensionspring39.001.636.5monthZ1-F683AZZbearingNSKF683AZZMC339
本文标题:基于维修策略的服务备件库存控制研究
链接地址:https://www.777doc.com/doc-1589145 .html