大型火力发电厂机组检修管理精益化研究

上海交通大学硕士学位论文大型火力发电厂机组检修管理精益化研究姓名：王晓斌申请学位级别：硕士专业：项目管理指导教师：张洁;薛建洪20090601I:;;;IILEANMANAGEMENTFORMAINTENANCEOFPOWERGENERATORUNITINFOSSILPOWERPLANTABSTRACTJiangsuLigangElectricPowerCo.,Ltd.(JLEPC)isthelargestfossilpowerplantinJiangsuProvince.Planningmaintenanceoflargefossilpowergeneratingunitisacomplexanddynamicprojectincludingagreatdealofresources.Theobjectiveofthisthesisistousetheleanproductionphilosophyinthemaintenanceprojecttoobtaintheeffectivepotentialprofitbycoordinationandintegrationresources.Firstthisthesisdescribesthegeneraltheoryofprojectmanagementandleanproduction,thenanalyzesthesituationofmaintenanceprojectmanagementinlargepowergeneratingunitofJLEPC,andfindsoutthedifferenceanddeficiencyofmaintenanceprojectmanagementcomparedwiththeforeignpowerplant.Theemphasisoftheanalysisisontheoptimizingalgorithmofplanningandschedulinginmaintenanceproject,andtheprocesscontrolinentireproject.Thisthesisaddressestheprofitpointwhichcanobtainbyleaningandoptimizingtheprocessofmaintenanceprojectmanagement,andproposessolutionswhichadopttheleanproductionphilosophytoreducewasteinmaintenanceprojectofpowergeneratorunit.Second,thelifepredictionmodelofequipmentinpowergeneratorunitissetupbytheprofessionalreviewmechanism,andassessmentandpredictionrulesareusedtodeterminemaintenanceiteminschedulingofmaintenanceproject.Allitemsinthemaintenanceprojectprocessareclassifiedtobeleanedandoptimizedaccordingtothejudgingcriteriaoftime,resourceutilization,projectimplementationquality.Atlast,theproposedmethodologyinthesisareappliedtothemaintenanceprojectmanagement.Theapplicationresultsshowthatthemaintenanceperiodisshortened,theresourcesissaved,thereworkisreduced,thewasteisminimizesothatJLEPCobtainsgreateconomicbenefitsassotoadapttochanginginternalandexternalenvironmentandmeettheneedsofsustainabledevelopment.KEYWORDSpowerplants;maintenance;projectmanagement;Lean1111.14[1];1-260%-70%2008100%211.21.2.112.204032080EPRI(Reliability-CenteredMaintenance,RCM)[2]0.2/MWERP[3]311.2.2JohnKratiik[4]JIT:(JIT),(TQC)[5]:1.32014123121.4123ACO455166222.12.219881993350MW2370MW199820034630MW20083960MW2.32.3.163722.3.21.12.3.32.3.4821510123922.4[6]350MW36106.8460C201022.5122.611333.13.2[7]RCMReliabilityCenteredMaintenanceRCM1233.2.1[8]11)23EAMSIS1333.2.21RCM2EAMD3ABCAAB2010BC143456RCMRCM3.2.312A3B4C3.2.41231533.2.51[9]2;;;;34;;;;;;;;;;1635;;;;63.2.612EAM234221733.2.71121Fig.1Closedloopcontrol3.3,——183ResourceConstrainedProjectSchedulingProblem,RCPSPOfficeProject3.3.1Herroelen[22]||δχγδRCPSPRCPSPSlowinski1989[23]zzz193χRCPSPzz-SS-SF-FF-FSγ:(1)(2)::zmaxminCγ=zmaxminTγ=∑(tardiness);zmintardyNumγ=;zmaxNetProfitγ=;zminAbs.()reqaverageRRγ=−∑.2033.3.2jrJj12JRr12RjprNjrdjrtI(1,)tt−fsListjjsfListjjffListjjssListjjjSjjFjmin(max{})jF3-1..,ffListijjstFFi=∈(3-2,fsListijjFSi≤∈3-3,ssListijjSSi=∈3-4,sfListijjSFi≥∈3-5213tjrrjIdN∈≤∑3-63-12-53-63.3.23.3.2.1[24]2(a)2(b)2(d)Deneubourg[25]23(a)3(b)43c8:223,,abcd2Fig.2Thewayantsfindtheprocessofgroups3Fig.3Double-bridgeexperiment233,,,,,TSPQAPVRP[26]JSSP[27]:zzz3.3.2.2243zzz——TSPTravelingSalesmanProblem1TSP·19NP2[28],ijTSPm()ijtτt(),ijNCconst(0)ijconstτ=3-7(1,2,,)kkm=L(1,2,,)kkmΓ=LkkΓtkij()()()()()kijijkkijijijskttjttPtjαβαβτητη∉Γ•∉Γ•=∈Γ∑0(3-8)αβ1M.DorigoTSP2,,PNP253()ijtη1()ijijtdη=(3-9)ijdkijd()ijtη()kijPtntt+∆(),ij()(1)()()ijijijttttτρττ+∆=−+∆g3-101()()mkijijkttττ=∆=∆∑3-11ρ1ρ−ρ[)0,1ρ⊂()ijtτ∆(),ij(0)0ijτ∆=()kijtτ∆k(),ijDorigoMAnt-CycleAnt-QuantityAnt-Density()kijtτ∆Ant-Cyclek()0kiji,jtτ∆=kQ)L(3-12)QkLkAnt-Quantityk)()0kijijtt1i,jdtτ∆=Q(3-13)263Ant-Densityk)()0kijtt1i,jtτ∆=Q(3-14)Ant-QuantityAnt-DensityAnt-Cycle3.3.2.3Jz1212TSP()ijtη()ijtηj1()0.5(fsList).ijjtLengthFη=+×3-15jFijjj(fsList).Lengthj273()0kijki,jTtτ∆=kQ)3-16kTkz310WHILE:nJ≠BEGIN:FSSFj1nn≠+ENDFFSSIF:SSi,jiirdijjrdji,jELSEIF:FFi,jiirdijjrdji,ji,jEND2834Fig.4Algorithmforthebasicprocesses3.2.3.netc#WindowsXPPentiumIV/2GHZ/2GBRAMDellz610,3,1,0.2,5,10constQNCαβρ======3611N=24N=36N=42N=58N=613N=52.1.3.4.5.6.7.2933z611172(FS)3(FS)4(FS)5(FS)6(FS)7(FS)8(FS)2202221(SF),16(FS)31821221(SF),14(FS)41921221(SF),12(FS)5183121(SF),12(FS)618211231(SF),12(FS),16(FS)720223521(SF),16(FS)818131(SF),17(FS)914414410(SS),11(SS),15(FS)10B142239(SS),13(FS),15(FS)1114129(SS),15(FS)1212244(SF),5(SF),6(SF),18(FS)13113210(SF),15(FS)1431223(SF),19(FS)15,21159(SF),10(SF),11(SF),13(SF),17(FS)1622242(SF),6(SF),7(SF),18(FS)1711138,15(SF),19(FS)18112312,16(SF),19(FS)1911314(SF),17(SF),18(SF)303519Fig.5Algorithmresults05101520253013579111315171921232527293133012345676Fig.6Calculationoftheindividualresourcesoftimeandtaskdistributioncharts3133.432444.1[12]4.21912-19907-7334441212312456123474.3[13]()3444.41354278A3100100100954=7572100%0.1=93.62100%0.22.530.50.133kpa/min9.87.3117%1003645Nm3/d950.110=100%0.5%4.5124.5.1123437424H384[14]7Fig.7Maintenancefoundthatthefailuretodealwithflowchart2.4.“”5.8.11.6.7.12.9.10.3.“”13.1.3948Fig.8Controlpeoplefoundthatthefailuretodealwithflowchart2.3.“”4.7.10.5.6.11.8.9.1.12.4044.5.2W(H)(S)[15]WHSH123456W1()241431WHSWH234HWHWISO90015HWAHW6HW7H