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