Market Overview

5 Day Course: Lean Six Sigma Green Belt Course -


The "Lean
Six Sigma Green Belt Course"
training has been added to's

The Objective of the Course is to give participants an overview of the
Six Sigma and Lean concepts and tools, including Six Sigma deployment
practices, project development, and the DMAIC problem-solving approach.
Once you've completed this programme, you'll be ready to successfully
participate in a Lean Six Sigma team

Lean and Six Sigma are quality improvement methodologies structured to
reduce waste and product or service failure rates to a negligible level.
Six Sigma companies typically spend less than five percent of their
revenues addressing and repairing quality problems.

The Six Sigma process encompasses all aspects of a business, including
management, service delivery and design, production and customer
satisfaction. As a philosophy, Six Sigma drives business culture and
requires a nearly flawless execution of key processes, making Six Sigma
a high standard for companies and individuals to achieve. By reducing
process variation, Six Sigma frees an organization to focus on improving
process capability. As Sigma levels increase, the cost of poor quality
decreases and profitability increases. This is why Six Sigma is highly
associated with the delivery of consistent, world-class quality.

Course Content

  1. Define
  2. Introduction to Define
  3. Project Planning
  4. Process Management
  5. The Voice of the Customer
  6. Define Summary
  7. Measure
  8. Introduction to Measure
  9. Data Collection
  10. Graphical Statistics for Continuous Data
  11. Graphical Statistics for Discrete Data
  12. Variation Concepts
  13. Process Capability
  14. Measure Summary
  15. Analyse
  16. Introduction to Analyse
  17. Process Analysis
  18. Cause & Effect
  19. Introduction to Minitab
  20. Minitab Exercises
  21. Analyse Summary
  22. Improve
  23. Introduction to Improve
  24. Generating and Selecting Solutions
  25. Error-Proofing
  26. PM Fundamentals
  27. Standardization
  28. Piloting and Verifying Results
  29. Improve Summary
  30. Control
  31. Introduction to Control
  32. Statistical Process Control
  33. Transition Planning

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