【正文】 ? 6西格瑪 R0 Project Review Sheet ? 6西格瑪 COQ Template ? 6西格瑪 Project Progress Report ? To get all relevant parties approval signatories Attend 6西格瑪 GB/BB Academic 培訓(xùn) Application of 6西格瑪工具 to Project(s) ?PF/CE/CNX/SOPs ? FMEA ? MSA ? PARETO ? PROBABILITY DISTRIBUTION ? ANOVA ? DOE ? STATISTICAL INTERVAL ? SPC Create Certification Template ? Follow DMAIC Presentation Summary Rev A , to plete each phase of the project 流程 to 6西格瑪 GB/BB certification Phase 3。 Project / Candidate Selection Candidate Selection To fill in 。版本 : 日期 : May 2023 6西格瑪綠帶培訓(xùn)教材 ONE 6 4 2 0 2 4 6 標(biāo)準(zhǔn)偏差 DAY1 第一天 (定義階段 ): 6西格瑪及精簡(jiǎn)優(yōu)化與 COQ(質(zhì)量成本）的關(guān)系 COQ的腦力風(fēng)暴 First Pass Yield Exercise II初始直通率的練習(xí) ?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(fù)練習(xí) ?Results and discussions結(jié)論和檢討 西格瑪培訓(xùn)中的某些質(zhì)量改進(jìn)工具 腦力風(fēng)暴技術(shù) 第一天結(jié)束 wrap up 通過(guò)以上的教學(xué)引導(dǎo)學(xué)員對(duì)品質(zhì)成本的認(rèn)識(shí) ﹐ 運(yùn)用六西格瑪就是有效的降低品質(zhì)成本 課程安排 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(hào)含義 Two 實(shí)例 of flow diagram (using a mon scenario)兩個(gè)流程圖的實(shí)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(guān)于 FMEA的實(shí)例 Group exercise on FMEA of barriers to 6西格瑪 implementation FMEA presentations關(guān)于 FMEA的介紹 Lunch Concept of precision and accuracy對(duì)準(zhǔn)確和準(zhǔn)確的理解（ Cp和 Ca） How does it link to the mean and 標(biāo)準(zhǔn)偏差（如何將平均值和標(biāo)準(zhǔn)偏差聯(lián)系起來(lái)） Precision and accuracy example (. Selection of fund manager準(zhǔn)確和精確的實(shí)際例子 Catapult exercise I彈弓拋物發(fā)射器的思維練習(xí)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(fēng)暴 exercise for Catapult用彈弓發(fā)射器進(jìn)行降低變差的腦力風(fēng)暴練習(xí) Catapult exercise II彈弓拋物發(fā)射器思維練習(xí)二 Computation of Catapult exercise result after variance reduction評(píng)估計(jì)算彈弓發(fā)射器游戲中的數(shù)據(jù)來(lái)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(xué)習(xí)中通過(guò)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 DAY 3 (Measure Phase測(cè)量階段 ): Recap of statistical terminology全新的統(tǒng)計(jì)學(xué)朮語(yǔ) Histogram and a normal data對(duì)直方圖和常態(tài)數(shù)據(jù)的理解 Construction of histogram對(duì)直方圖的解釋 Transformation of data數(shù)據(jù)的轉(zhuǎn)換 Calculate Cp, Cpk from nonnormal data計(jì)算非正態(tài)數(shù)據(jù)的 Cp, Cpk Break The importance of good measurement正確的測(cè)量方法的重要性 Direct 和 indirect measurement (. Introduction to scatter diagram) Risk of wrong interpretation錯(cuò)誤解釋的風(fēng)險(xiǎn) Under and variance concept in measurement system在變異范圍內(nèi)的測(cè)量系統(tǒng)的觀念 Introduction to Gauge repeatability and reproducibility (GRR)介紹 GRR Lunch GRR example 對(duì) GRR的計(jì)算的例子 Calculation of measurement variance測(cè)量變異的計(jì)算 Rules of thumb in GRR閱讀 GRR 規(guī)則手冊(cè) Calculation of GRR using puter使用電腦計(jì)算 GRR Break Interpretation graphical of GRR解釋 GRR的繪制 Balls? circumference measurement exercise測(cè)量園球周長(zhǎng)的游戲 Result and discussion on measurement exercise以上測(cè)量結(jié)果和方法的練習(xí) The ANOVA(analysis of variance) method of GRR對(duì) GRR的方差計(jì)算方法 Day 3 wrap up 以上的培訓(xùn)使學(xué)員開始接觸品質(zhì)分析工具 ﹐ DAY 4 (Measure + Analyze Phase測(cè)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(shí)際例子） Attribute GRR exercise （ GRR的練習(xí)） Result and discussion on exercise(練習(xí)計(jì)算和討論） Break Computing attribute data GRR using the puter使用電腦計(jì)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(zhì)數(shù)據(jù)好 Converting attribute data to variable data將品質(zhì)數(shù)據(jù)轉(zhuǎn)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(yùn)算的實(shí)際例子 Introduction to probability theory介紹概率原理 Lunch Probability approach (classical, relative frequency)概率統(tǒng)計(jì)的步驟（古典方式 ﹐ 相關(guān)頻率） Probability rules概率規(guī)則 Probabilities under statistical independence (Marginal, Joint, Conditional) Exercise練習(xí) Break Probability under conditions of statistical dependence概率條件下的統(tǒng)計(jì)學(xué)原理 Exercise練習(xí) Introduction to probability distributions介紹概率分配 Day 4 wrap up 本天是學(xué)員掌握基本的統(tǒng)計(jì)原理 DAY 5 (Analyze Phase分析階段 ): What is a binomial distribution ?什么是二次項(xiàng)分配 Conditions for the use of the Bernoulli trials (流程 ) Graphical illustration of a binomial distribution二項(xiàng)次分配繪制的說(shuō)明 Measures of central tendency and dispersion for binomial distribution 二項(xiàng)次分配的集中趨勢(shì)和離散趨勢(shì)的測(cè)量 Probability calculation with binomial distribution用二項(xiàng)次分配計(jì)算概率 Binomial distribution case studies二項(xiàng)次分配的案例學(xué)習(xí) Characteristics of the Poisson distribution泊松分配的特點(diǎn) Probability calculation using Poisson distribution用泊松分配的概率計(jì)算 Poisson distribution as an approximation of binomial distribution 泊松分配是一個(gè)比較接近二次項(xiàng)分配的 Break Poisson distribution case studies泊松分配案例的學(xué)習(xí) 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(nèi)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(jì)算概率 Normal distribution case studies正態(tài)分配案例的學(xué)習(xí) Using puter to calculate probability of different distribution 利用電腦計(jì)算不同性質(zhì)的概率分配 Lunch DAY 5 (Analyze Phase分析階段 ): Random sampling: Basis of statistical inference隨意抽樣 ﹕ 統(tǒng)計(jì)推理的基礎(chǔ) 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(xí) Result and discussion結(jié)論和檢討 Break Confined interval and population mean estimation信賴區(qū)間和 Continuous data集中趨勢(shì)的數(shù)據(jù) Discrete data 離散趨勢(shì)的數(shù)據(jù) Determining sample size決定樣本大小 Continuous data集中趨勢(shì)的數(shù)據(jù) Discrete data 離散趨勢(shì)的數(shù)據(jù) Finite and infinite population and the associated im