Six Sigma Green Belt

Six Sigma Green Belt

Green Belts are a vital component to any successful Six Sigma program. Many organizations begin Six Sigma deployments by training Champions and Black Belts, then quickly realize they need to involve to larger critical mass of people to achieve breakthrough level results and culture change. 
QGS’s Green Belt training is among the most challenging and robust curricula offered. QGS’s goal is not to just train Green Belts, but to develop the very best Green Belts in the world. With that goal in mind, QGS requires both traditional work on a Six Sigma project concurrent to training, and expects students to take exams and subject themselves to a challenging experience. 




Who Should Attend:

  • Individuals carrying out Six Sigma Projects in their Operational area or as Team Members with a Black Belt 

Course Includes:

  • Comprehensive Course Material 

Recommended Batch Size:

  • 6-20 Participants 

QGS’s Green Belt Curriculum of 5 days:

Define & Measure



  • Mature Learning Process
  • Six Sigma Overview
  • Introduction to Minitab
  • Basic Statistics
  • Six Sigma Metrics
  • Project Scoping
  • Project Definition

  • Process Mapping
  • Capability Analysis
  • Measurement System Analysis
  • Cause and Effects tools 
  • Evaluating Potential Causes
  • Techniques for Generating Solution 
  • Piloting Techniques 
  • Managing Change  
Analyze   Control 
  • FMEA
  • Data collection 
  • Graphical Analysis 
  • Regression and Correlation
  • Test of Hypothesis
  • 1-way ANOVA
  • Introduction to Control
  • Introduction to SPC
  • Variable SPC
  • Control Plan
  • Project Closure 

Key Learning Outcomes

On completion of this course participants will be able to:
  • Understand Six Sigma and the DMAIC methodology
  • Understand their role in the success of a deployment
  • Property define and work on Six Sigma projects
  • Use Minitab for the purposes of process improvement
  • Apply the DMAIC process to business issues
  • Identify the most significant input variables affecting the output of a process
  • Apply statistical analysis to determine the relationship between key inputs and process outputs
  • Characterize the equation y = f(x)
  • Transition projects from phase to phase
  • Close out complete projects
  • Present projects to instructors, peers and managers


Certification & Project Support

  • Successfully completed 2 Hours Examination to be held on the last day
  • Complementary offline support for a period of 3 months for completing the Project





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