Green Belt, Day One – Define, Measure and Analyze
Company executive management chooses 3 to 4 problems that need solving and assigns a team of 4 to 7 associates to each problem.
1. Six Sigma Overview
- Introduction
- Structure of Six Sigma
- Project Management Basics
2. Define – Pareto Analysis
- Focus on the Vital Few
- Pareto Charts – 80/20
- Applications in Sales and Operations
- Multi-Variable Pareto Analysis
3. Define – Problem Statements
- Specific, Observable, Measureable, Manageable
4. Workshop Exercise – Define
- Conduct Pareto Analysis and Create a Problem Statement
5. Measure
- Standardize data collection
- Measurement repeatability and reproducibility
6. Measure Simulation Exercise – Airplanes
- Each team practices measurement repeatability and reproducibility
7. Analyze – Descriptive Statistics
- Average, Mode, Median, Range, Standard Deviation
8. Analyze – Standard Deviation
- Measuring Variation and Process Capability
9. Analyze Simulation Exercise
- Paper Airplane accuracy contest – Compare each team’s performance
Green Belt, Day Two – Analyze, Improve & Control
Teams present definition, measurement and analysis of their problem to the class.
10. Analyze – Box & Whisker Diagrams
- Comparison Graphs
- Applications in Sales and Operations
11. Analyze Simulation Exercise
- Paper Airplane accuracy contest – Compare each team’s performance using Box & Whisker Charts
12. Analyze – Scatter Diagrams
- Correlation analysis
- Applications in Sales and Operations
13. Improve – Cause & Effect
- Fishbone Diagrams
- 5 Whys
14. Improve Simulation Exercise
- Create Fishbone Diagram for Airplane Accuracy
- Redesign process and retest
- Repeat all Comparison Analyses
15.Control – Trend Charts
- Trent Chart Rules
- Link to Performance Scorecards
16. Control Simulation Exercise
- Create trend chart for airplane data
- Did any special causes occur
Optional
Green Belt Days 3 & 4 – Advanced Experimentation & Control Tools
Teams present results of designed experiments and analysis.
1. Measure
- Attribute and Continuous Data
- Measurement Theory
- Measurement Error
2. Analysis – Process Capability
- Utilizing Process Capability Measures (Cpk, Cp.
- Linking Standard Deviation to Process Capability
3. Improve – Hypothesis Testing
- Confidence Intervals
- t test
- Chi-squared test
4. Improve Simulation Exercise
- Redo comparison analysis of before and after airplane accuracy using t and Chi-squared tests
5. Improve Experimental Design – Multi-Variable Experimentation
- Choose experimental factors and factor levels
- Create an experimental array to vary more than one factor
- Determine factor impact on results and interactions
6. Improve Simulation Exercise
- Create designed experiment for airplane accuracy, changing 3 design factors
- Use Experimental Design tools to determine factor impact and interactions
- Use T and Chi-squared tests to determine if results have statistically improved
7. Control – Statistical Process Control (SPC.
- Role in Six Sigma and process improvement
- Control chart rules
- Continuous Data SPC (XbarR, XMR.
- Attribute Data SPC (C-chart, P-chart.
- Simulation exercises using each type of control chart
8. Control Simulation Exercise
- Simulation exercise for each type of control chart