Green Belt course table 
 Define - Six Sigma definition phase 
 A, SIGMA Management Review (theory, model, organization, resources and activities) 
 1, What is Six Sigma 
 2 Why do we need Six Sigma? 
 3, how to apply Six Sigma? 
 4, Six Sigma organization model 
 Second, how to start and to define a 6 SIGMA project 
 1, the project team 
 2, the project source 
 3, the project selection criteria 
 4, making the project plan 
 5 members of the group responsible 
 Three, the basic principles of statistical 
 1, the variation 
 2, the overall sample 
 3, parameters and statistics 
 4, the location of measurement 
 5, the deviation of measurement 
 6, the Descriptive Statistics 
 Fourth, quality cost analysis 
 1, the quality loss function 
 2, the relationship of quality costs and profits 
 3, the cost of prevention 
 4, the identification of cost 
 5, defect costs 
 Measure - Six Sigma measurement phase 
 A causal matrix analysis 
 1, cause and effect diagram 
 2, the causal matrix and its uses 
 3, the causal matrix production steps 
 4, the causal matrix production steps 
 Causal matrix with other tools 
 Second, the MINITAB introduced 
 1, the MINITAB's role 
 2, the MINITAB the window 
 3, the MINITAB's basic operations 
 4, MINITAB practical exercises 
 Third, measurement system analysis 
 1, the composition of the measurement error 
 2, Measurement Systems Analysis purpose 
 3, Measurement System Analysis step 
 4, continuous data measurement system analysis 
 Measurement System Analysis of discrete data 
 The destructive test data measurement system analysis 
 7, measurement system analysis case to explain and practice 
 Fourth, process capability analysis 
 1, the process variability 
 2, process capability 
 3, process capability index 
 4, short-term and long-term capacity 
 5, process capability of non-normal distribution of data 
 6, process capability analysis of the case to explain and practice 
 Analyze - Six Sigma analysis phase 
 First, the multivariate analysis 
 1, the variation category 
 2 Source of variation 
 3, multi-variable diagram (process capability analysis) 
 4, the multi-variable map (gage repeatability and reproducibility study) 
 5, the multi-variable diagram (analysis of variance) 
 6, multivariate analysis of the case to explain and practice 
 Second, confidence intervals and hypothesis testing 
 1 What is a hypothesis test? 
 2, hypothesis testing steps 
 3, hypothesis testing two types of risk 
 4, continuous data hypothesis testing 
 5, the discrete data hypothesis testing 
 Improve - Six Sigma to improve the stage 
 An experimental design 
 1 What is the experimental design 
 2, the experimental factors and levels 
 3, test type and select 
 4, the test results 
 5, experimental design case studies 
 6, field exercises and results of experimental design 
 Second, the full factorial and partial factorial experiment design 
 1 factor / distribution factor design overview 
 2, the main influence diagrams 
 3, the interaction diagram 
 4, analysis of variance 
 5, optimization of design 
 6, a full factorial experimental design case studies and exercises 
 Control - Six Sigma Control Phase 
 1, SPC theory 
 1, control introduced 
 2, statistical thinking and control charts 
 3, the control chart types and selection 
 4, the use of the preparation before the control chart 
 Second, the measurement data SPC 
 A measurement value data types and uses of control charts 
 Value of measurement data to the production and application of control charts 
 3, the measurement value data control charts, process capability analysis 
 4, four types of measurement value data control charts 
 5, count control chart production practice and explain 
 Third, the count data SPC 
 1, the count value data types and uses of control charts 
 2, the count value production and application of control charts 
 3, the count value data control charts, process capability analysis 
 Fourth, the Lean Six Sigma 
 The advantages and disadvantages of one, Six Sigma 
 2, the advantages and disadvantages of lean production 
 3, lean manufacturing tools to analyze 
 4, Lean and Six Sigma combination of