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上海交通大学硕士学位论文SixSigma管理中多项目选择的研究姓名：朱烨申请学位级别：硕士专业：项目管理指导教师：苏强;陈建20100101ISixSigmaABSTRACTIIISTUDYONMULTI-PROJECTSELECTIONINSIXSIGMAMANAGEMENTABSTRACTSixsigmamanagement,oneofthevaluablebranchoftraditionalmanagement,playstheimportantrolesinpromotionprofitsandestablishmentofstrategiesofcompanyfacingtheever-increasingcompetitiveenvironment,afterthesuccessapplicationinsuchbrandenterprisesasGE,Motorola,etc.ItisknowntoallthatthevectorofSixSigmaManagementliesinSixSigmaprojects.Althoughthereismethodsandproceduresinextantabouthowtoimplement,thefailuresinexecutionstillbafflemanycompanies.ThekeypointofSixSigmaManagementwillbegraduallyfocusedonhowtoselectthepotentialprojectstoformmulti-projectmanagementthatconformwithenterprisestrategiesamongallkindsofsixsigmaprojects.Itismentionedlittle,notletsystemstudy,intheapplicationofsixsigmamanagementbothathomeandaboard.Thisthesisfirstlytakesawholeviewinthecurrentapplicationofmulti-projectmanagementandmulti-projectselectioninsixsigmamanagement,discussingthemeaningandfeasibilitiesoftheapplicationofmulti-projectselection,secondlyestablishingSixSigmamanagementselectionmodelandindicatorsystembasedonhierarchicalstructureundersixsigmamanagementprocedureframeworkinthisthesis,throughtheanalyzingandsummarizingcurrentresearchachievement,thirdlytakingevaluationandpriorityonitemsselectionbyfuzzycomprehensiveevaluation.Finallyitillustratestheapplicationofmulti-projectselectioninSixSigmamanagement.KEYWORDS:SixSigmamanagement,multi-projectmanagement,multi-projectselectionsystem,indicatorsystem11.11.1.1SixSigmaGeneralElectricMotorola[1]1994J.M.Juran202140%AlliedSignalFordDowCitiBankAllstateSiemensEricssonSonyToshibaSamsung[2]LeanLeanSixSigmaTRIZ[3]20002[4]1.1.2IBM21%[5]31.21.2.120026PMIProjectManagementInstitute6Multi-ProjectManagement20034ProjectPortfolioManagementProgramManagement[6]PMI2004AGuidetotheProjectManagementBodyofKnowledgeThirdEditionPMBOKGuide3rdEditionProgramsPortfolios2005TheProgramandPortfolioManagementStandardPPMS[7]PMIArchibald2003[8][9][10]ArcherGhasemzadeh[11]ChinhoLin[12]B-P[13]4[14][15]AnalyticHierarchyProcessAHPRealCodedAcceleratingGeneticAlgorithmRAGA[16]AHPAHP[17][18]Cooper[19]1.2.2CMMISO9000TQM1Coronado.R.BAntony..J[20]TritosLaosirihongthongAHP[21][22]2Forrest.W.Breyfogle[23][24]3[25][26][27]ThomasPyzdek[28]51.31.3.11.3.2161Fig.1Frameworkofthestudy1.41.2.3.72.1SPCStatisticalProcessControlTQMTotalQualityManagementSixSigmaManagement[29]2.1.1Sigma1.52~33~41~21.51811.5%ppm130.23697700269.13308700393.3266810499.3796210599.9767233699.999663.41.53.4ppmpartspermillion99.99966%[30]2.1.21988MBNQAMalcolmBaldrigeNationalQualityAward[31]ITInformationTechnology[32]2.1.391.2.3.4.5.6.7.2.22.2.11.[33]2.[34]103.[35]4.[36]22Fig.2Thestatusofmulti-projectmanagementinenterpriseprojectmanagementsystem2.2.21.[7]Turner[37]ArcherGhasemzadeh11[11]Cooper[19][38]2.[7]Turner[39]AlanHarpham[40][41]2.2.31212322/2.2.41.1132NPVNetPresentValueIRRInternalRateofReturn32.[42]1214342.32.3.11%3-75%100050100152.3.21.2.3.4.162.41.2.3.4.173.11.N.P.ArcherF.GhasemzadehN.P.ArcherF.Ghasemzadeh3[11]3N.P.ArcherF.GhasemzadehFig.3N.PArcherandF.Ghasemzadehsflowofmulti-projectmanagement182.SpradlinStrategicTableSpradlin4[43]4SpradlinFig.4Spradlinsstrategymodel3.RobertK.WysockiRobertK.Wysocki5[44]5RobertK.WysockiFig.5RobertK.Wysockismodelofprojectportfoliomanagementcycle1966Fig.6FrameworkofSixSigmamanagementflow203.2CTQCriticalToQuality3.2.177Fig.7TypicalflowofSixSigmaprojectselection.YSWOTVOCVoiceOfCustomer.YyYy.yCTQVOCyCTQ.yCTQ213.2.2ForrestW.BreyfogleForrestW.Breyfogle8[23]8ForrestW.BreyfogleFig.8ForrestW.BreyfoglesprocesschartofSixSigmaprojectselectionCTQ223.2.31.2.3.4.5.3.2.49Fig.9SixSigmamulti-projectselectingsystem233.33.3.1x=(x1,x2,,xn),z=(f(x1),f(x2),,f(xp))1.mPi1im2.nIj1jn3.A=(aij)mnI1I2InP1a11a12a1nA=P2a21a22a2nPmam1am2amn3.124aijiPijIjX=(P1,P2,,Pm)SkXSkXXY=(I1,I2,,In)SlSl3.3.21.2.3.4.Hayes19893.3.31.12253Q-42.123()3.3.4261.P={P1,P2,,Pn}P2.I={I1,I2,,Im}W=(W1,W2,,Wm)T3.V={V1,V2,,Vk}Viikki4i9i4.Ri=(ri1,ri2,,rin)RiirijRr11r12r1nR=r21r22r2nrijrm1rm2rmn5.WRr11r12r1nA=WR=(W1,W2,,Wm)r21r22r2nrijrm1rm2rmn=(a1,a2,an)ai3.23.33.43.527284.11.2.3.4.295.4.24.2.1.BalancedScorecardRobertKaplanDavidNorton20901996HarvardBusinessReviewUsingtheBalancedScorecardasaStrategicManagementSystem[45]103010Fig.10FrameworkofBalancedScorecard314.2.2SWOTHeinzWeihrich2080SWOTSWOTSWOTSWOTSWOTSWOTStrengthWeaknessOpportunityThreatsSWOT3SOWOSTWT[46]3SWOTStrengthWeaknessOpportunitiesSOWOThreatsSTWT324.2.3NGTNGTNominalGroupTechniqueDelphiMethodNGT[47]NGTNGTNGTNGT4.2.47[48]1234533674.3[49]4.3.11001357997531InI1I2InI1I2I2I1IixixiN01IiniIiniyini34Pxyi=nii=12n-1yi-+nxiy1yn-1xiPxxi=ni1−+21n1=ni5.0−(i=1,2,,n-1)xN01xi[50]4.3.2P1P2PmI1I2InAaijPiIjI1I2InP1a11a12a1nA=P2a21a22a2nPmam1am2amn[47]1.Aaijrij=∑=mkkjijaa120rij11∑=miijr12=1(j=1,2,,n)2.Ajaj*=max1mi≤≤{aij}(j=1,2,,n)rij=aajij*4.14.34.44.235rij=1-aajij*0rij11im1jnAAjaj^=min1mi≤≤{aij}(j=1,2,,n)rij=aaijj^3.aj*=max1mi≤≤{aij}aj^=min1mi≤≤{aij}(j=1,2,,n)rij=aaaajjjij^*^−−1im,1jnrij=aaaajjijj^**−−1im,1jn0rij1