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Six Sigma Green Belt

GES 216 -- 100 hours

Course Outline

I. Why Six Sigma?

1. Definition and Graphical View of Six Sigma
2. Comparisons Between typical TQM and Six Sigma Programs
3. Origins and Success Stories
II. How to Deploy Six Sigma
1. Leadership Responsibilities
2. Description of the Roles and Responsibilities
3. Resource Allocation
4. Data Driven Decision Making
5. Organizational Metrics and Dashboards
III. DEFINE: Project Definition
1. Tasks
2. Work Breakdown Structure
3. Pareto Diagrams
4. Process Maps
5. Matrix Diagrams
6. Project Charters
7. Reporting
IV. DEFINE: Project Scheduling
1. Activity Network Diagram
2. PERT Analysis
3. GANNT Chart
V. DEFINE: Change Management/Teams
1. Problems with Change
2. Achieving Buy-In
3. Team Formation, Rules, and Responsibility
   1. Stages of Team Development
   2. Overcoming Problems
4. Consensus Building Tools
   1. Affinity Diagram
   2. Nominal Group Technique
   3. Prioritization Matrix
VI. MEASURE: Tools and Objectives
1. Measure Stage Objectives
2. Flowcharts
3. Process Maps
4. SIPOC
5. Box-Whisker Plots
6. Cause and Effect Diagrams
7. Check Sheets
8. Interrelationship Diagram
9. Stem and Leaf Plots
VII. MEASURE: Establishing Process Baseline
1. Enumerative v. Analytic Statistics
2. Process Variation
3. Benefits of Control Charts
4. Requirements v. Control
5. Control Chart Interpretation
VIII. MEASURE: X-Bar Charts
1. Uses
2. Construction and Calculations
3. Assumptions
4. Rational Subgroups
5. Sampling Considerations
6. Interpretation
IX. MEAUSRE: Individuals Data
1. Uses
2. Construction and Calculations
3. Assumptions
4. Sampling Considerations
5. Interpretation
6. Overview of Other Individuals Charts
   1. Run Charts
   2. Moving Average Charts
   3. EWMA Charts
X. MEASURE: Process Capability
1. Histograms
2. Probability Plots
3. Goodness of Fit Tests
4. Capability and Performance Indices
5. Relative to Process Control
   1. Interpretation
   2. Estimating Error
XI. MEASURE: Attribute Charts
1. Uses
2. Selection
3. Construction and Calculations
4. Sampling and Considerations
XII. ANALYZE: Introduction to Regression Analysis
1. Scatter Diagrams
2. Linear Model
3. Interpreting the ANOVA Table
4. Confidence and Prediction Limits
5. Residuals Analysis
6. Overview of Multiple Regression Tools
XIII. ANALYZE: Lean Thinking
1. Definition of Waste
2. Analyzing Processes for NVA
   1. Cycle Effencies
   2. Lead Time and Velocity
3. Methods to Increase Velocity
   1. Standardization
   2. Optimization
   3. Spaghetti Diagrams
   4. 5S
   5. Level Loading
   6. Flow
   7. Setup Reductions
XIV. IMPROVE: Tools and Objectives
1. Improve Stage Objectives
2. Tools to Prioritize Improvement Opportunities
3. Tools to Define New Process Flow
4. Tools to Define and Mitigate Failure Modes
   1. PDPC
   2. FMECA
   3. Preventing Failures
5. Reference to Tools for Defining New Process Levels
XV. CONTROL: Tools and Objectives
1. Control Stage Objectives
2. Control Plans
3. Training
4. Measuring Improvement