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.
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
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