Lean Six Sigma Green Belt Training

by Steve Ouellette

Despite a great deal of recent interest in Six Sigma training and methodology, there is no national consistent and uniform curriculum for Six Sigma certifications. Depending upon the trainer and needs of the client, the amount of training for Green Belt levels ranges from a few days to two weeks (80 hours of training.) Our standard Green Belt training is two weeks, typically separated by three or four weeks to allow for project work and implementation. Participants in this two-week program will be able to pass any Six Sigma certification test and will be able to fully implement the concepts on the job.

The instructor, Steve Oullette, is a Master Black Belt trainer. Should the client wish to implement a one-week (40-hour) training solution rather than the recommended 80-hour solution, Steve will work with the client to review the curriculum against the client’s desired outcomes for the participants and identify which program topics/modules must be cut to shorten the curriculum.

Program Overview

The purpose of the course is to give Green Belts the tools they will need to run local breakthrough improvement projects. It is assumed that they will have access to an internal or external Black Belt or Master Black Belt resource throughout their project. Green Belts are HIGHLY recommended to bring a project idea to the first week, which will be developed during that week's workshop. The course is typically taught for two weeks separated by three or four weeks for project work. Each week has some time set aside for workshop activities and the instructor will support the students via e-mail as needed. Phone consultation can also be set up if needed.

The course is best taught utilizing MVPstats, a software analysis program. The students are provided with the software and free demo codes for the duration of the course. They will also receive three texts: Quality Tools, Effective Teaming, and a slide guide of the course with three slides per page and a place for notes next to each.

The course content outline follows; it can be customized to some degree as needed.

UNIT 1 - Define/Measure

• What is Six Sigma?
• Drivers of Business Performance
• Effective Teaming
• DFSS Overview
• Define/Measure
  - Using Data
  - Quality Tools
  - Introduction to Statistical Methods
  - Simple Probability
  - Probability Distributions
  - Estimation
  - Process Variation
  - Measurement System Analysis
  - Process Characterization
• Define/Measure Workshop

UNIT 2 - Analyze (DMAIC)

• The Scientific Method
• Problems and Causes
  - Performance Improvement
  - Incidents
  - Causes
  - Elimination / Improvement
  - Process Improvement Stages
• Introduction to Hypothesis Testing
  - Sample Size Calculations
  - Correlation and Regression
  - Two Independent Sample Hypothesis Tests
  - Example Hypothesis Tests
  - ANOVA Overview
     a. Oneway ANOVA – Fixed Effects
     b. Introduction to Oneway ANOVA Random Effects
     c. Introduction to Two-Way ANOVA Models
     d. Introduction to Three-way and Higher ANOVA Models
     e. Introduction to Fractional Experimental Designs
     f. Concepts of Confirmation Experiments
• Foundations of Experimental Design
• Summary

UNIT 3 - Improve (DMAIC)

UNIT 4 - Control

• Prevention Planning and Analysis (FMEA, Control Plans, Fault Tree)
• Statistical Process Control Chart Methods
• Control Methods
  - Principles of Robust Product and Process Design
  - Mistake-Proofing
  - Introduction to Automatic Control Systems
  - Principles of Standardization
• Summary

UNIT 5 - Final Thoughts/Putting It To Work

Time Frame: 40 -80 hours of instruction time.

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