Six Sigma Green Belt Training
Green Belts are a vital component to any successful Six Sigma program. Many organizations begin Six Sigma deployments by training Champions and Black Belts and quickly realize the need to involve a larger critical mass of people to achieve breakthrough level results from their Six Sigma initiative.
Green Belt training is an excellent way to enhance the effectiveness of both process owners and team members as they learn to apply the tools and methods used in the Six Sigma methodology.
This course is comprised of three intense four day training sessions. These sessions are separated by approximately four weeks to allow students the opportunity to apply the tools and concepts of Six Sigma to their own project. After the training, students will have the requisite knowledge and skills to complete projects and pass BMG's rigorous Green Belt certification exams. To facilitate the learning process, students will have regular access to BMG's Master Black Belts for timely project review and feedback.
To graduate with BMG Green Belt certification, each student must demonstrate an understanding of the Six Sigma methodology and its tools by completing all assignments, quizzes, exams and a final project review.
What You'll Learn:
A comprehensive education of the Six Sigma methodology
What role Green Belts and other team members play in the success of Six Sigma
How to properly define, scope and work on Six Sigma projects
How to characterize a complex problem using the Y=f(x) equation
How to apply statistical analysis tools to problem solving
How to present projects to peers and managers
How to use MINITAB 14 to analyze Six Sigma projects
BMG’s Green Belt Curriculum: 12 days
| Define/Measure |
Improve/Control |
| • Adult Learning Process |
• 2K Factorials |
| • Six Sigma Overview |
• Statapult Exercise |
| • Project Definition |
• Introduction to Control & Control Methods |
| • Process Map |
• Control Methods |
| • Project Scoping |
• Project Closure |
| • Introduction to Minitab 1 |
• Variable SPC (Part 1) |
| • Basic Statistics |
• Variable SPC (Part 2) |
| • Measurement Systems Analysis |
• Attribute SPC |
| • Capability |
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| Analyze/Improve |
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| • Graphical Methods |
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| • Failure Modes and Effect Analysis |
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| • Confidence Intervals |
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| • Introduction to Hypothesis |
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| • Mean Testing |
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| • Proportions Testing |
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| • One-way Anova |
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| • DOE Introduction |
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| • Full Factorial Experiments |
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