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1、6西格玛的培训教材12DAY1 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- First Pass Yield Exercise II初始直通率的練習 IPO（輸入輸出流程）and flow diagram（IPO和流程圖）Flow analysis of dropping cards onto targetRepeating the exercise重復練習Results and discussions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 wrap up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
2、效的降低品質成本課程安排3DAY2 第二天(Variance Reduction降低变差的理解):- The power of Plato chart and the 80/20 rules柏拉圖表的功能和80/20的規則- Construction of a Plato Chart using computer- flow diagram and its associated symbols流程圖和其制作符號含義- Two 实例of flow diagram (using a common scenario)兩個流程圖的實例（使用通用的情節）- Barriers that hinder 6西
3、格玛implementation阻礙開展執行六西格瑪的因素-Break- What is FMEA 什么是FMEA- Example of FMEA關于FMEA的實例- Group exercise on FMEA of barriers to 6西格玛implementation- FMEA presentations關于FMEA的介紹-Lunch- Concept of precision and accuracy對准確和准確的理解（Cp和Ca）- How does it link to the mean and 标准偏差（如何將平均值和標准偏差聯系起來）- Precision and a
4、ccuracy example (i.e. Selection of fund manager准確和精確的實際例子-Catapult exercise I彈弓拋物發射器的思維練習一-Break- Introducing concept of variance reduction (i.e. PF/CE/CNX/FMEA/SOP)介紹降低變差的觀念-Variance reduction 脑力风暴exercise for Catapult用彈弓發射器進行降低變差的腦力風暴練習-Catapult exercise II彈弓拋物發射器思維練習二- Computation of Catapult exe
5、rcise result after variance reduction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- Discussion of variance contributors討論降低變差的意義-第二天wrap up 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(Variance Reduction）降低变差重要性4DAY 3 (Measure Phase測量階段):- Recap of statistical terminology全新的統計學朮語- Histogram and a normal data對直方圖和常態數據的理解- Construct
6、ion of histogram對直方圖的解釋- Transformation of data數據的轉換- Calculate Cp, Cpk from non-normal data計算非正態數據的Cp, Cpk -Break- - The importance of good measurement正確的測量方法的重要性- Direct 和indirect measurement (i.e. Introduction to scatter diagram)- Risk of wrong interpretation錯誤解釋的風險- Under and variance concept in
7、 measurement system在變異范圍內的測量系統的觀念- Introduction to Gauge repeatability and reproducibility (GR&R)介紹GR&R-Lunch- GR&R example 對GR&R的計算的例子 - Calculation of measurement variance測量變異的計算- Rules of thumb in GR&R閱讀GR&R 規則手冊- Calculation of GR&R using computer使用電腦計算GR&R -Break- Interpretation graphical of GR
8、&R解釋GR&R的繪制- Balls circumference measurement exercise測量園球周長的游戲- Result and discussion on measurement exercise以上測量結果和方法的練習- The ANOVA(analysis of variance) method of GR&R對GR&R的方差計算方法- Day 3 wrap up 以上的培訓使學員開始接觸品質分析工具5DAY 4 (Measure + Analyze Phase測量分析階段): - Introduction to GR&R analysis on attribute
9、data介紹GR&R 的數據- Example of attribute data GR&R （GR&R 的實際例子）- Attribute GR&R exercise （GR&R的練習）- Result and discussion on exercise(練習計算和討論）-Break- Computing attribute data GR&R using the computer使用電腦計算GR&R 的數據- what variable data is better than attribute data為什么變差數據比品質數據好- Converting attribute data t
10、o variable data將品質數據轉化成變差數據- Example of attribute data conversion (i.e. Wu Fans project on reducing bubble defect)數據運算的實際例子- Introduction to probability theory介紹概率原理-Lunch- Probability approach (classical, relative frequency)概率統計的步驟（古典方式相關頻率）- Probability rules概率規則- Probabilities under statistical i
11、ndependence (Marginal, Joint, Conditional)- Exercise練習-Break- Probability under conditions of statistical dependence概率條件下的統計學原理- Exercise練習- Introduction to probability distributions介紹概率分配- Day 4 wrap up 本天是學員掌握基本的統計原理6DAY 5 (Analyze Phase分析階段): - What is a binomial distribution ?什么是二次項分配- Condition
12、s for the use of the Bernoulli trials (流程)- Graphical illustration of a binomial distribution二項次分配繪制的說明- Measures of central tendency and dispersion for binomial distribution 二項次分配的集中趨勢和離散趨勢的測量- Probability calculation with binomial distribution用二項次分配計算概率- Binomial distribution case studies二項次分配的案例學
13、習- Characteristics of the Poisson distribution泊松分配的特點- Probability calculation using Poisson distribution用泊松分配的概率計算- Poisson distribution as an approximation of binomial distribution 泊松分配是一個比較接近二次項分配的-Break- Poisson distribution case studies泊松分配案例的學習- Introduction to normal distribution介紹正態分配- Chara
14、cteristics of normal distribution典型的正態分配- Areas under the normal curve正態曲線內部的區域面積的理解- The use of normal probability distribution table使用概率分配表- Probability calculation using normal distribution利用正態分配計算概率- Normal distribution case studies正態分配案例的學習- Using computer to calculate probability of different
15、distribution 利用電腦計算不同性質的概率分配-Lunch-7DAY 5 (Analyze Phase分析階段): - Random sampling: Basis of statistical inference隨意抽樣統計推理的基礎- Introduction to sampling distributions介紹取樣分類- Concept of standard error and sampling from normal population-Probability of the sample mean樣品平均數的概率- Central limit theorem中心極限定理
16、- Exercise to demonstrate central limit theorem中心極限定律的練習- Result and discussion結論和檢討-Break- Confined interval and population mean estimation信賴區間和 Continuous data集中趨勢的數據- Discrete data 離散趨勢的數據- Determining sample size決定樣本大小- Continuous data集中趨勢的數據- Discrete data 離散趨勢的數據- Finite and infinite population and the associated impact to the confidence interval- Exercise on confidence interval信賴區間的練習- Day 5 和week 1 wrap up課程安排8Asia 6Asia 6西格玛西格玛VisionVision亞洲六西格瑪進行的遠景亞洲六西格瑪進行的遠景 Our Mission 我們的任務To drive
