INTRODUCTION:
- The Green Belt Course is designed to improve process performance, deliver medium-impact projects and achieve significant cost savings.
- Six Sigma Green Belt is designed to acquire the special skills and knowledge required before leading or taking part in any continuous improvement project.
- Green Belts will effectively use the Six Sigma tools throughout their organization, customers and suppliers for achieving business improvement results.
- Green Belts will gain thorough understanding of all aspects of the DMAIC model in accordance with Six Sigma principles.
- Green Belts will gain knowledge of Lean enterprise concepts, are able to identify non-value-added elements and activities.
COURSE CONTENT / CURRICULUM
SESSION 1: DEFINE THE PROJECT (D) / 2 Days- Overview of Six Sigma - DMAIC & DMADV
- Cost of Poor Quality (COPQ)
- Drill Down Tree & Pareto Chart
- Project Charter Development
- Teams & Stakeholder Analysis
- Voice of Customers (VOC) & Kano Model
- SIPOC & Basic Process Mapping
- Financial Analysis and Cost Savings
SESSION 2: MEASURE THE PROJECT (M) / 2 Days
- Root Cause Analysis (RCA) Tools
- Operational Definition
- Data Collection Plan
- Basic Statistics and Sampling Techniques
- Capability Analysis and Sigma Value
- Graphical & Value Analysis
- Fishbone Diagram
- Failure Modes and Effects Analysis (FMEA)
SESSION 3: ANALYSE THE PROJECT (A) / 2 Days
- Statistical Root Cause Analysis
- Hyphothesis Testing
- Advanced Graphical Analysis
- Regression Analysis
- Value Stream Mapping (VSM)
SESSION 4: IMPROVE THE PROJECT (I) / 2 Days
- Generating Improvement Ideas
- Evaluating & Selecting Best Solutions
- Solution & Training Implementation Plan
- Develop & Execute Pilot Plan
- Lean Concepts and Error Proofing / Kaizen
- Cost & Benefit Analysis (ROI)
SESSION 5: CONTROL THE PROJECT (C) / 2 Days
- Process Control Plan
- Standard Operating Procedures (SOP)
- Statistical Process Control (SPC)
- Best Practice and Replication Opportunities
- Process Ownership and Dashboards
Additional Curriculum:
- Quality Function Deployment (QFD)
- Design of Experiments (DOE)
