Course description
Lean Six Sigma Green Belt Certification Program: In-House Training
This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills.
Green Belt is not just a role, it is also a competency required for leadership positions at many top companies. This learning series is designed to enable participants to fulfill the important role of a Lean Six Sigma Green Belt and to incorporate the Lean Six Sigma mindset into their leadership skills. With a real-world project focus, the series will teach the fundamental methodology, tools, and techniques of the Define, Measure, Analyze, Improve and Control Process Improvement Methodology. This course is delivered through sixteen 3-hour online sessions.
Upcoming start dates
Outcome / Qualification etc.
What you Will Learn
At the end of this program, you will be able to:
- Identify strategies for effectively leading high performing process improvement teams
- Analyze whether projects align with business strategy
- Apply process improvement methodologies to DMAIC steps, based on real world scenarios
- Explain ways to appropriately respond to process variation
- Distinguish among best practice problem solving methodologies
- Evaluate and effectively communicate data-driven decisions, based on real world scenarios
Training Course Content
Introduction
- Lean Six Sigma & quality
- The vision
- The methodologies
- The metric
Project Selection
- Why Projects
- Random idea generation
- Targeted idea generation
- CTQs (Critical to Quality) & projects
- Project screening criteria
- Quick improvements
Introduction to Define
Project Planning
- Developing the core charter
- Developing a project charter
- Facilitation
Process Management
- Business process management
- Top-down process mapping
Voice of the Customer
- Voice of Customer
- Stakeholder analysis
- Communication planning
- Kicking off the project
Define Summary
Introduction to Measure
Data Collection
- Fact-based decision making
- Data sampling
- Operations definitions
- Data collection plan
- Measurement system analysis
Graphical Statistics for Continuous Data
- Meet Six SigmaXL
- Graphical & statistical tools
- Data stratification
Graphical Statistics for Discrete Data
- Pareto analysis
- Dot plots
- Plotting data over time: Looking for patterns
Variation Concepts
- Variation is reality
- Special Cause and Common Cause variation
- Example of standard business reporting
- Individuals Control Chart
Process Capability
- Genesis of process capability
- Calculating the metrics of Six Sigma
- Yield metrics: Measuring process efficiency
Cost of Poor Quality
- The Cost of Poor Quality (COPQ)
- Cost of Quality categories
- Calculating the Cost of Poor Quality
Measure Summary
Introduction to Analyze
Process Analysis
- Introduction to process analysis
- Value-added analysis
- Cycle time analysis
- WIP & pull systems
- Analyzing bottlenecks and constraints
Cause & Effect Analysis
- Fishbone/Ishikawa diagram
- 5-Whys analysis
- Graphical & statistical tools
Advanced Analysis
- Why use hypothesis rests?
- Hypothesis tests
- Correlation and regression analysis
Analyze Summary
Introduction to Improve
Solutions
- Creativity techniques
- Generating alternative solutions
- Solution selection techniques
Introduction to Design of Experiments
- Introduction to DOE
- DOE activity
Error Proofing
- Failure mode & effect analysis
- Poka-Yoke
Project Management Fundamentals
- Successful teams
- Project roles
- Conflict management
Standardization
- Standardization
- The Visual Workplace
- 5S
Piloting & Verifying Results
- What is a pilot?
- Evaluating results
Improve Summary
Introduction to Control
Statistical Process Control
- Review of Special & Common Cause variation
- Review of Individual Control Chart
- P-Chart for discrete proportion data
Transition Planning
- Control plan
- Project closure
Control Summary
Summary and Next Steps
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