Members of Canadian Boards of Trade or International Society for Six Sigma Professionals (ISSSP) eligible for 10% discount. 

CALENDAR:  TORONTO  OTTAWA & CALGARY

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This program consists of over 40 interactive workshops that provide participants with the foundation for Six Sigma project success, including statistical and analytical tools, as well as change management, leadership, and project management skills.  All e-Zsigma training is derived from a common curriculum and as such, Green Belts will be well-equipped to assume proactive support roles for both Champions and Black Belts, as well as lead Six Sigma process improvement projects of their own.

Employing an Adult Learning Model, participants can apply newly-acquired Six Sigma tools and methods to actual process improvement projects over the course of training, enabling immediate benefit from your Six Sigma training investment.

This Six Sigma Green Belt curriculum consists of eight days of training that is conducted over a two month training cycle: Session 1 (4 days), Session 2 (4 days).  Trainees will be required spend time between sessions applying the concepts and tools learned to their assigned process improvement project, as well as preparing for their next training session.

At the end of each session of training, participants will develop an action plan for their projects, which will be reviewed by their Master Black Belt instructor.  If necessary, additional project coaching after the completion of Session 2 training can be arranged.

Session 1 Objectives: 

Define, Measure & Analyze Participants will be able to gather any remaining information required for their project charter, and launch their process improvement projects.  They will be able to:  

• Explain Six Sigma fundamentals (program and concepts)
• Establish & manage a project team
• Complete a process flow & value stream map
• Construct a Cause & Effect diagram 
• Use CSM or other forced ranking tools prioritize information
• Prepare a Pareto analysis
• Design and execute a data collection plan
• Perform a measurement system analysis
• Apply basic statistics to describe process under review
• Prepare & interpret a histogram
• Complete process variability, capability and yield studies