六西格玛绿带培训
DAY1 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 target
•Repeating 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效的降低品質成本
DAY2 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西格玛implementation阻礙開展執行六西格瑪的因素
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- 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
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- 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 accuracy 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
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- 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 exercise 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
DAY 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
- Construction 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
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- 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 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
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- 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
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- Interpretation graphical of GR&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﹐
DAY 4 (Measure + Analyze Phase測量分析階段):
- Introduction to GR&R analysis on attribute 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）
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- 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 to variable data將品質數據轉化成變差數據
- Example of attribute data conversion (i.e. Wu Fan’s project on reducing bubble defect)數據運算
的實際例子
- Introduction to probability theory介紹概率原理
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- 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 independence (Marginal, Joint, Conditional)
- Exercise練習
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- 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
DAY 5 (Analyze Phase分析階段):
- What is a binomial distribution ?什么是二次項分配
- Conditions 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
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- Poisson distribution case studies泊松分配案例的學習
- Introduction to normal distribution介紹正態分配
- Characteristics 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 distribution
利用電腦計算不同性質的概率分配
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- 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
- Exercise to demonstrate central limit theorem中心極限定律的練習
- Result and discussion結論和檢討
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- 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
謝謝分享 謝謝分享 {:1_180:} :lol {:4_109:}谢谢分享 {:1_101:} :handshake {:1_101:} {:1_180:}