六西格玛绿带培训教材(推荐ppt100)

Abcot版本:1.00日期:May20036西格玛绿带培训教材-6-4-20246标准偏差Abcot第一天(定义阶段):-6西格玛及精简优化与COQ的关系-COQ的脑力风暴-FirstPassYieldExerciseII•IPO和流程flowdiagram•流程analysisofdroppingcardsontotarget•Repeatingtheexercise•Results和discussions-西格玛培训中的某些质量改进工具-脑力风暴技术-第一天wrapup第二天(降低变差):-Thepowerofparetochart和the80/20rules-ConstructionofaParetoChartusingcomputer-流程flowdiagram和itsassociatedsymbols-Two实例of流程flowdiagram(usingacommonscenario)-Barriersthathinder6西格玛implementation------------------------------------Break-----------------------------------------------WhatisFMEA-ExampleofFMEA-GroupexerciseonFMEAofbarriersto6西格玛implementation-FMEApresentations------------------------------------Lunch----------------------------------------------Abcot第二天(VarianceReduction):-Conceptofprecision和accuracy-Howdoesitlinktothemean和标准偏差-Precision和accuracyexample(i.e.Selectionoffundmanager)StatapultexerciseI------------------------------------Break-----------------------------------------------Introducingconceptofvariancereduction(i.e.PF/CE/CNX/FMEA/SOP)-Variancereduction脑力风暴exerciseforStatapult-StatapultexerciseII-ComputationofStatapultexerciseresultaftervariancereduction-Discussionofvariancecontributors-第二天wrapupDAY3(MeasurePhase):-Recapofstatisticalterminology-Histogram和anormaldata-Constructionofhistogram-Transformationofdata-CalculateCp,Cpkfromnon-normaldata------------------------------------Break----------------------------------------------AbcotDAY3(MeasurePhase):-Theimportanceofgoodmeasurement-Direct和indirectmeasurement(i.e.Introductiontoscatterdiagram)-Riskofwronginterpretation-Underst和varianceconceptinmeasurementsystem-IntroductiontoGaugerepeatability和reproducibility(GR&R)------------------------------------Lunch-----------------------------------------------GR&Rexample-Calculationofmeasurementvariance-RulesofthumbinGR&R-CalculationofGR&Rwithcomputer------------------------------------Break-----------------------------------------------GraphicalinterpretationofGR&R-Balls’circumferencemeasurementexercise-Result和discussiononmeasurementexercise-TheAnovamethodofGR&R-Day3wrapupAbcotDAY4(Measure+AnalyzePhase):-IntroductiontoGR&Ranalysisonattributedata-ExampleofattributedataGR&R-AttributeGR&Rexercise-Result和discussiononexercise------------------------------------Break-----------------------------------------------ComputingattributedataGR&Rusingthecomputer-为什么variabledataisbetterthanattributedata-Convertingattributedatatovariabledata-Exampleofattributedataconversion(i.e.WuFan’sprojectonreducingbubbledefect)-Introductiontoprobabilitytheory------------------------------------Lunch-----------------------------------------------Probabilityapproach(classical,relativefrequency)-Probabilityrules-Probabilitiesunderstatisticalindependence(Marginal,Joint,Conditional)-Exercise------------------------------------Break-----------------------------------------------Probabilityunderconditionsofstatisticaldependence-Exercise-Introductiontoprobabilitydistributions-Day4wrapupAbcotDAY5(AnalyzePhase):-Whatisabinomialdistribution?-ConditionsfortheuseoftheBernoullitrials(流程)-Graphicalillustrationofabinomialdistribution-Measuresofcentraltendency和dispersionforbinomialdistribution-Probabilitycalculationwithbinomialdistribution-Binomialdistributioncasestudies-CharacteristicsofthePoissondistribution-ProbabilitycalculationusingPoissondistribution-Poissondistributionasanapproximationofbinomialdistribution------------------------------------Break-----------------------------------------------Poissondistributioncasestudies-Introductiontonormaldistribution-Characteristicsofnormaldistribution-Areasunderthenormalcurve-Theuseofnormalprobabilitydistributiontable-Probabilitycalculationusingnormaldistribution-Normaldistributioncasestudies-Usingcomputertocalculateprobabilityofdifferentdistribution------------------------------------Lunch----------------------------------------------AbcotDAY5(AnalyzePhase):-Randomsampling:Basisofstatisticalinference-Introductiontosamplingdistributions-Conceptofstandarderror和samplingfromnormalpopulation-Probabilityofthesamplemean-Centrallimittheorem-Exercisetodemonstratecentrallimittheorem-Result和discussion------------------------------------Break-----------------------------------------------Confidenceinterval和populationmeanestimation-Continuousdata-Discretedata-Determiningsamplesize-ContinuousData-DiscreteData-Finite和infinitepopulation和theassociatedimpacttotheconfidenceinterval-Exerciseonconfidenceinterval-Day5和week1wrapupAbcotAsia6西格玛VisionOurMissionTodriveoperationalexcellencethroughthedeploymentof6西格玛initiativesinOptoelectronicsAsiasites.目标1)ToconsolidateAsiaeffortin流程改进through6西格玛initiative.2)TosharebestpracticesacrossPerkinelmerAsiaSites.3)Toentrench6西格玛cultureinOptoelectronicsAsiasites,和makeitthewayoflifeforourpeople.AbcotCourse目标•Explain和motivateothersinthe6西格玛哲学•Underst和和characterizethe6西格玛组织支持结构•Describe和explaintheroleof6西格玛黑带,champion和绿带.•Certification流程inAsia6西格玛deployment•Howdoes6西格玛drive产品ivity质量deployment•Perkinelmer6西格玛implementationstrategy•Underst和t