什么是六西格玛

1版本:1.00日期:May20036西格玛绿带培训教材ONE-6-4-20246标准偏差2DAY1第一天(定义阶段):-6西格玛及精简优化与COQ(質量成本）的关系-COQ的脑力风暴-FirstPassYieldExerciseII初始直通率的練習•IPO（輸入輸出流程）andflowdiagram（IPO和流程圖）•Flowanalysisofdroppingcardsontotarget•Repeatingtheexercise重復練習•Resultsanddiscussions結論和檢討-西格玛培训中的某些质量改进工具-脑力风暴技术-第一天結束wrapup通過以上的教學引導學員對品質成本的認識﹐運用六西格瑪就是有效的降低品質成本課程安排3DAY2第二天(VarianceReduction降低变差的理解):-ThepowerofPlatochartandthe80/20rules柏拉圖表的功能和80/20的規則-ConstructionofaPlatoChartusingcomputer-flowdiagramanditsassociatedsymbols流程圖和其制作符號含義-Two实例offlowdiagram(usingacommonscenario)兩個流程圖的實例（使用通用的情節）-Barriersthathinder6西格玛implementation阻礙開展執行六西格瑪的因素------------------------------------Break-----------------------------------------------WhatisFMEA什么是FMEA-ExampleofFMEA關于FMEA的實例-GroupexerciseonFMEAofbarriersto6西格玛implementation-FMEApresentations關于FMEA的介紹------------------------------------Lunch-----------------------------------------------Conceptofprecisionandaccuracy對准確和准確的理解（Cp和Ca）-Howdoesitlinktothemeanand标准偏差（如何將平均值和標准偏差聯系起來）-Precisionandaccuracyexample(i.e.Selectionoffundmanager准確和精確的實際例子-CatapultexerciseI彈弓拋物發射器的思維練習一------------------------------------Break-----------------------------------------------Introducingconceptofvariancereduction(i.e.PF/CE/CNX/FMEA/SOP)介紹降低變差的觀念-Variancereduction脑力风暴exerciseforCatapult用彈弓發射器進行降低變差的腦力風暴練習-CatapultexerciseII彈弓拋物發射器思維練習二-ComputationofCatapultexerciseresultaftervariancereduction評估計算彈弓發射器游戲中的數據來了解降低變差的含義-Discussionofvariancecontributors討論降低變差的意義-第二天wrapup在以上學習中通過彈弓發射器游戲的了解﹐在游戲中掌握了解在六西格瑪中(VarianceReduction）降低变差重要性4DAY3(MeasurePhase測量階段):-Recapofstatisticalterminology全新的統計學朮語-Histogramandanormaldata對直方圖和常態數據的理解-Constructionofhistogram對直方圖的解釋-Transformationofdata數據的轉換-CalculateCp,Cpkfromnon-normaldata計算非正態數據的Cp,Cpk------------------------------------Break-----------------------------------------------Theimportanceofgoodmeasurement正確的測量方法的重要性-Direct和indirectmeasurement(i.e.Introductiontoscatterdiagram)-Riskofwronginterpretation錯誤解釋的風險-Underandvarianceconceptinmeasurementsystem在變異范圍內的測量系統的觀念-IntroductiontoGaugerepeatabilityandreproducibility(GR&R)介紹GR&R------------------------------------Lunch-----------------------------------------------GR&Rexample對GR&R的計算的例子-Calculationofmeasurementvariance測量變異的計算-RulesofthumbinGR&R閱讀GR&R規則手冊-CalculationofGR&Rusingcomputer使用電腦計算GR&R------------------------------------Break-----------------------------------------------InterpretationgraphicalofGR&R解釋GR&R的繪制-Balls’circumferencemeasurementexercise測量園球周長的游戲-Resultanddiscussiononmeasurementexercise以上測量結果和方法的練習-TheANOVA(analysisofvariance)methodofGR&R對GR&R的方差計算方法-Day3wrapup以上的培訓使學員開始接觸品質分析工具﹐5DAY4(Measure+AnalyzePhase測量分析階段):-IntroductiontoGR&Ranalysisonattributedata介紹GR&R的數據-ExampleofattributedataGR&R（GR&R的實際例子）-AttributeGR&Rexercise（GR&R的練習）-Resultanddiscussiononexercise(練習計算和討論）------------------------------------Break-----------------------------------------------ComputingattributedataGR&Rusingthecomputer使用電腦計算GR&R的數據-whatvariabledataisbetterthanattributedata為什么變差數據比品質數據好-Convertingattributedatatovariabledata將品質數據轉化成變差數據-Exampleofattributedataconversion(i.e.WuFan’sprojectonreducingbubbledefect)數據運算的實際例子-Introductiontoprobabilitytheory介紹概率原理------------------------------------Lunch-----------------------------------------------Probabilityapproach(classical,relativefrequency)概率統計的步驟（古典方式﹐相關頻率）-Probabilityrules概率規則-Probabilitiesunderstatisticalindependence(Marginal,Joint,Conditional)-Exercise練習------------------------------------Break-----------------------------------------------Probabilityunderconditionsofstatisticaldependence概率條件下的統計學原理-Exercise練習-Introductiontoprobabilitydistributions介紹概率分配-Day4wrapup本天是學員掌握基本的統計原理6DAY5(AnalyzePhase分析階段):-Whatisabinomialdistribution?什么是二次項分配-ConditionsfortheuseoftheBernoullitrials(流程)-Graphicalillustrationofabinomialdistribution二項次分配繪制的說明-Measuresofcentraltendencyanddispersionforbinomialdistribution二項次分配的集中趨勢和離散趨勢的測量-Probabilitycalculationwithbinomialdistribution用二項次分配計算概率-Binomialdistributioncasestudies二項次分配的案例學習-CharacteristicsofthePoissondistribution泊松分配的特點-ProbabilitycalculationusingPoissondistribution用泊松分配的概率計算-Poissondistributionasanapproximationofbinomialdistribution泊松分配是一個比較接近二次項分配的------------------------------------Break-----------------------------------------------Poissondistributioncasestudies泊松分配案例的學習-Introductiontonormaldistribution介紹正態分配-Characteristicsofnormaldistribution典型的正態分配-Areasunderthenormalcurve正態曲線內部的區域面積的理解-Theuseofnormalprobabilitydistributiontable使用概率分配表-Probabilitycalculationusingnormaldistribution利用正態分配計算概率-Normaldistributioncasestudies正態分配案例的學習-Usingcomputertocalculateprobabilityofdifferentdistribution利用電腦計算不同性質的概率分配------------------------------------Lunch----------------------------------------------7DAY5(AnalyzePhase分析階段):-Randomsampling:Basisofstatisticalinference隨意抽樣﹕統計推理的基礎-Introductiontosamplingdistributions介紹取樣分類-Conceptofstandarderrorandsamplingfromnormalpopulation-Probabilityofthesamplemean樣品平均數的概率-Centrallimittheorem中心極限定理-Exercisetodemonstratecentrallimitth