【正文】 版本 : 日期 : May 2023 6西格瑪綠帶培訓教材 ONE 6 4 2 0 2 4 6 標準偏差 1 DAY1 第一天 (定義階段 ): 6西格瑪及精簡優(yōu)化與 COQ(質量成本）的關系 COQ的腦力風暴 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 西格瑪培訓中的某些質量改進工具 腦力風暴技術 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 課程安排 2 DAY2 第二天 (Variance Reduction降低變差的理解 ): The power of Plato chart and the 80/20 rules柏拉圖表的功能和 80/20的規(guī)則 Construction of a Plato Chart using puter flow diagram and its associated symbols流程圖和其制作符號含義 Two 實例 of flow diagram (using a mon scenario)兩個流程圖的實例（使用通用的情節(jié)） Barriers that hinder 6西格瑪 implementation阻礙開展執(zhí)行六西格瑪?shù)囊蛩? 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西格瑪 implementation FMEA presentations關于 FMEA的介紹 Lunch Concept of precision and accuracy對準確和準確的理解（ Cp和 Ca） How does it link to the mean and 標準偏差（如何將平均值和標準偏差聯(lián)系起來） Precision and accuracy example (. Selection of fund manager準確和精確的實際例子 Catapult exercise I彈弓拋物發(fā)射器的思維練習一 Break Introducing concept of variance reduction (. PF/CE/CNX/FMEA/SOP)介紹降低變差的觀念 Variance reduction 腦力風暴 exercise for Catapult用彈弓發(fā)射器進行降低變差的腦力風暴練習 Catapult exercise II彈弓拋物發(fā)射器思維練習二 Computation of Catapult exercise result after variance reduction評估計算彈弓發(fā)射器游戲中的數(shù)據(jù)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(fā)射器游戲的了解 ﹐ 在游戲中掌握了解在六西格瑪中 (Variance Reduction） 降低變差重要性 3 DAY 3 (Measure Phase測量階段 ): Recap of statistical terminology全新的統(tǒng)計學朮語 Histogram and a normal data對直方圖和常態(tài)數(shù)據(jù)的理解 Construction of histogram對直方圖的解釋 Transformation of data數(shù)據(jù)的轉換 Calculate Cp, Cpk from nonnormal data計算非正態(tài)數(shù)據(jù)的 Cp, Cpk Break The importance of good measurement正確的測量方法的重要性 Direct 和 indirect measurement (. 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(tǒng)的觀念 Introduction to Gauge repeatability and reproducibility (GRR)介紹 GRR Lunch GRR example 對 GRR的計算的例子 Calculation of measurement variance測量變異的計算 Rules of thumb in GRR閱讀 GRR 規(guī)則手冊 Calculation of GRR using puter使用電腦計算 GRR Break Interpretation graphical of GRR解釋 GRR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 GRR對 GRR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 ﹐ 4 DAY 4 (Measure + Analyze Phase測量分析階段 ): Introduction to GRR analysis on attribute data介紹 GRR 的數(shù)據(jù) Example of attribute data GRR （ GRR 的實際例子） Attribute GRR exercise （ GRR的練習） Result and discussion on exercise(練習計算和討論） Break Computing attribute data GRR using the puter使用電腦計算 GRR 的數(shù)據(jù) what variable data is better than attribute data為什么變差數(shù)據(jù)比品質數(shù)據(jù)好 Converting attribute data to variable data將品質數(shù)據(jù)轉化成變差數(shù)據(jù) Example of attribute data conversion (. Wu Fan?s project on reducing bubble defect)數(shù)據(jù)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(tǒng)計的步驟（古典方式 ﹐ 相關頻率） Probability rules概率規(guī)則 Probabilities under statistical independence (Marginal, Joint, Conditional) Exercise練習 Break Probability under conditions of statistical dependence概率條件下的統(tǒng)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(tǒng)計原理 5 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 Break Poisson distribution case studies泊松分配案例的學習 Introduction to normal distribution介紹正態(tài)分配 Characteristics of normal distribution典型的正態(tài)分配 Areas under the normal curve正態(tài)曲線內部的區(qū)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(tài)分配計算概率 Normal distribution case studies正態(tài)分配案例的學習 Using puter to calculate probability of different distribution 利用電腦計算不同性質的概率分配 Lunch 6 DAY 5 (Analyze Phase分析階段 ): Random sampling: Basis of statistical inference隨意抽樣 ﹕ 統(tǒng)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(shù)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 Break Confined interval and population mean estimation信賴區(qū)間和 Continuous data集中趨勢的數(shù)據(jù) Discrete data 離散趨勢的數(shù)據(jù) Determining sample size決定樣本大小 Continuous data集中趨勢的數(shù)據(jù) Discrete data 離散趨勢的數(shù)據(jù) Finite and infinite population and the associated impact to the confidence interval Exercise on confidence interval信賴區(qū)間的練習 Day 5 和 week 1 wrap up 課程安排 7 Asia 6西格瑪 Vision亞洲六西格瑪進行的遠景 Our Mission 我們的任務 To drive operational excellence through the deploy of 6西格瑪 initiatives in optimalelectronics Asia sites. 開展六西格瑪是通往卓越的亞洲最佳電子行業(yè)的道路 GOAL目標 1) To consolidate Asia effort in 流程改進 through 6西格瑪 initiative. 2) To share best practices across Perkinelmer Asia Sites. 3) To entrench 6西格瑪 culture in optimal electronics Asia sites, 和 make it the way of life for our people. 8 Course 目標 ? Explain 和 motivate other