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MINITAB質(zhì)量管理軟件培訓(xùn)
 
講師:范麗娜 瀏覽次數(shù):2584

課程描述INTRODUCTION

MINITAB軟件培訓(xùn)

· 品質(zhì)經(jīng)理· 生產(chǎn)部長(zhǎng)

培訓(xùn)講師:范麗娜    課程價(jià)格:¥元/人    培訓(xùn)天數(shù):3天   

日程安排SCHEDULE

課程大綱Syllabus

MINITAB軟件培訓(xùn)

課程大綱
第一天(9:00-16:00)
1、Minitab基本介紹(Introduction to Minitab)
(1)Minitab基本結(jié)構(gòu)、使用技巧、保存數(shù)據(jù)、保存圖形、新建項(xiàng)目文件等(Minitab interface、Minitab Tips、save data, save graphs, how to new projects);
(2)如何基于Minitab拆分、合并工作表、堆疊數(shù)據(jù)、對(duì)數(shù)據(jù)進(jìn)行排序和子集化操作(Split and merge worksheet and subset of worksheet. Sort data);
(3)基礎(chǔ)統(tǒng)計(jì)學(xué):統(tǒng)計(jì)學(xué)分析思路,正態(tài)分布,各種常見統(tǒng)計(jì)參數(shù)(Basic statistics: normal distribution test and some Descriptive statistics);
(4)直方圖、散點(diǎn)圖、箱線圖、概率圖、時(shí)間序列圖、餅圖、Pareto 等(histogram、scatterplot、boxplot and probability plot、time series plot、pie chart main effect plot and pareto plot and so on);
(5)基于圖形進(jìn)行數(shù)據(jù)分析的案例(Case study on using some kinds of plot);
2、SPC原理及各種控制圖(Statistical process control)
(1)控制圖的基本原理,控制限的計(jì)算,控制限與規(guī)格限的區(qū)別于聯(lián)系(The principle of control chart, how to calculate the control limit, the difference between control limit and spec limit);
(2)控制圖的判異原則;控制圖的不同使用階段的劃分及控制限的確立原則(how to test the special causes in control chart. The stage of control chart);
(3)控制圖的選擇樹,基于數(shù)據(jù)類型和合理抽樣方案選擇恰當(dāng)?shù)目刂茍D的方法(How to choose the correct control chart base on the data type and samples collecting methods);
(4)Xbar-R控制圖、Xbar-S控制圖、I-MR控制圖、P圖、NP圖、C圖、U圖制作及分析;控制圖使用的兩類風(fēng)險(xiǎn)分析(Detailed introduction Xbar-R chart, Xbar-S chart, I-MR chart, P chart and NP chart, C chart and U chart. The risk of using control chart);
(5)使用Minitab軟件進(jìn)行監(jiān)控流程是否受控的案例分析(Using Minitab software to judge if the process in control);
 
第二天(9:00-16:00)
1、過程能力分析(Capability Analysis)
(1) 過程能力分析的概念及意義;過程能力分析的原理及變異的估計(jì)(Why capability analysis, the capability principle and estimate the variance);
(2)對(duì)正態(tài)數(shù)據(jù)的過程能力分析;Cp、Cpk的使用原則及計(jì)算意義(The relation between CP/ CPk and what shall we get from the two parameter);
(3)PP、PPk的使用及計(jì)算;Cp、Cpk、Pp、PPk的區(qū)別與聯(lián)系;PPM的計(jì)算(The difference between CP, PP and CPk, PPk;How to calculate CP /CPk or PP/PPk then the data normal);
(4)西格瑪水平Z值的計(jì)算及意義,基準(zhǔn)的西格瑪水平能力計(jì)算分析(How to calculate CP /CPk or PP/PPk then the data normal);
(5)對(duì)非正態(tài)分布數(shù)據(jù)的能力分析:Box-Cox轉(zhuǎn)換原理、Johnson變換及選擇(Capability analysis for nonnormal data: BOX-COX transform and Johnson transform);
(6)如何基于Minitab軟件進(jìn)行其它分布的能力分析(Use individual distribution identification to choose the right distribution);
2、測(cè)量系統(tǒng)分析(Measurement system analysis)
(1)測(cè)量系統(tǒng)分析的概念及變異源分析的原理(The principle of measurement and the source of variance);
(2)測(cè)量系統(tǒng)的穩(wěn)定性、分辨度、線性、偏倚、重復(fù)性、再現(xiàn)性的概念及意義(Concept of Stability、discrimination、bias、linearity、repeatability reproducibility);
(3)如何使用Minitab軟件進(jìn)行量具的線性和偏倚分析(Bias and linearity analysis in Minitab);
(4)基于Minitab軟件創(chuàng)建測(cè)量系統(tǒng)分析的工作表(Create Gage R&R study worksheet);
(5)Gage R&R的計(jì)算及意義;P/T使用的意義及計(jì)算(Calculate Gage R&R index and P/T);
(6)可區(qū)分類別數(shù)(NDC)的含義及計(jì)算(Number of district categories (NDC));
(7)測(cè)量系統(tǒng)分析及綜合案例介紹(Case study on measurement system analysis);
 
第三天(9:00-16:00)
1、假設(shè)檢驗(yàn)(Hypothesis Test)
(1)假設(shè)檢驗(yàn)的原理介紹及何時(shí)需要用假設(shè)檢驗(yàn)進(jìn)行數(shù)據(jù)分析(The principle of hypothesis test and why need use this tools);
(2)假設(shè)檢驗(yàn)中存在的兩類風(fēng)險(xiǎn)分析及如何選擇正確的假設(shè)檢驗(yàn)工具進(jìn)行分析(Two kind of risk in hypothesis test and how to choose the right tools to analyze data);
(3)原假設(shè)、備擇假設(shè)確立的原則(How to set null hypothesis and alternative hypothesis);
(4)單樣本Z檢驗(yàn)、單樣本T檢驗(yàn)、雙樣本T檢驗(yàn)及A*VA進(jìn)行數(shù)據(jù)分析(1-Z test,1-T test ,two sample-T test and A*VA);
(5)P值表示的含義及在不同的質(zhì)量工具中輸出的匯總(Introduction of P value);
(6)有關(guān)假設(shè)檢驗(yàn)的綜合案例介紹(Case-study for Hypothesis Test);
2、相關(guān)與回歸分析(Regression and Correlation)
(1)相關(guān)型分析,相關(guān)系數(shù)的含義(Correlation introduction, correlation coefficient);
(2)一元線性回歸的診斷及參數(shù)計(jì)算(Simple Regression least ?square ?method ,R2,R2(adj),R2(Pre));
(3)邏輯回歸的案例介紹(Logistic Regression case-study);
3、試驗(yàn)設(shè)計(jì)(DOE)
(1)試驗(yàn)設(shè)計(jì)的發(fā)展及作用(Why DOE and history of DOE);
(2)幾種常見設(shè)計(jì)類型的區(qū)別,DOE中的幾個(gè)常見概念(The difference among some common DOE);
(3)實(shí)施DOE的基本策略及思路,實(shí)施過程中應(yīng)注意事項(xiàng)(Process for DOE and some tips);
(4)2k因子設(shè)計(jì)原理及正交試驗(yàn)原理,因子的主效應(yīng)、交互作用的判斷(2k Factor 、Main effect and Interaction);
(5)如何基于Minitab軟件進(jìn)行試驗(yàn)安排(Create DOE worksheet in Minitab);
(6)復(fù)制試驗(yàn)、中心點(diǎn)、區(qū)組等操作(How to add number of center points、 Number of blocks、Number of replicates);
(7)判斷模型的有效性及優(yōu)化模型,基于Minitab軟件中的DOE進(jìn)行調(diào)優(yōu)設(shè)計(jì)(DOE Analysis、Factorial plot、Response optimizer and Case study);

MINITAB軟件培訓(xùn)


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