【正文】 ong 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(kāi)始接觸品質(zhì)分析工具 ﹐ 4 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 5 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(xiàn)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 6 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(lèi) 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(lài)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 impact to the confidence interval Exercise on confidence interval信賴(lài)區(qū)間的練習(xí) 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(jìn)行的遠(yuǎn)景 Our Mission 我們的任務(wù) To drive operational excellence through the deploy of 6西格瑪 initiatives in optimalelectronics Asia sites. 開(kāi)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(biāo) 1) To consolidate Asia effort in 流程改進(jìn) 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(biāo) ? Explain 和 motivate others in the 6西格瑪哲學(xué) ? Underst和 characterize the 6西格瑪組織支持結(jié)構(gòu) ? Describe 和 explain the role of 6西格瑪黑帶 , champion 和綠帶 . ? Certification 流程 in Asia 6西格瑪 deployment ? How does 6西格瑪 drive 產(chǎn)品 ivity 質(zhì)量 deployment ? Perkinelmer 6西格瑪 implementation strategy ? Underst和 the importance of motivating others to inculcate 6西格瑪culture 9 What is 6SIGMA?什么是六西格瑪 Vision 和哲學(xué) : Develop BETTER, FASTER, 和 LOWER COST 產(chǎn)品 和 services aggressively attack the cost of 質(zhì)量 (COQ), leading to higher customer satisfaction 和retention Primary Focus: Eliminates variation in all business 流程 es to reduce costs 和 increase customer satisfaction Definition: A 方法 to identify 和 minimize variation in a 流程 , resulting in PPM defective A Vision, A 哲學(xué) 一個(gè)方法 , 一個(gè)改進(jìn)工具 一個(gè)基準(zhǔn) 一個(gè)標(biāo)準(zhǔn) What is 6SIGMA 10 ? Ways to create business, operation 和 technology breakthrough in meeting goals associated with doing things better, faster , lower cost in all 產(chǎn)品和 services ? 6西格瑪 develop people towards 世界級(jí)別優(yōu)秀 culture in pany for petitive advantages ? Most powerful breakthrough management 工具 – Drastically improve bottom line – Minimize waste 和 increase resources while increasing customer satisfaction ? 6西格瑪 can result in increasing market share, reduce operation costs 和 profit growth. 為什么要使用 6西格瑪 ? 11 1970’ s Japanese firm took over Motorola TV factory in USA 和 reduced 缺陷 by 95%! 1981 Motorola CEO Bob Galvin challenged pany to a 10x 質(zhì)量改進(jìn) in 5 years 1985 Paper on “Defect 和 Correct vs. Error Free Assembly” by Smith from Motorola 1988 Won Malcolm Baldrige award for Total Customer Satisfaction 1988 6西格瑪 Research Institute formed: Implementation strategyGuidelinesAdvanced 工具 s 6西格瑪?shù)臍v史 12 Continuous 改進(jìn) 改進(jìn) Time 6西格瑪 Breakthrough 方法 Normal Continuous 改進(jìn) Breakthrough 改進(jìn) 改進(jìn) Time ? Incremental 改進(jìn)resulting from a consistent series of many, small 改進(jìn)activities ? Quantum Leap 改進(jìn)dr