Six Sigma - Yellow Belt
Course Description: This course covers the fundamental concepts and tools of Six Sigma process improvement methodology. This course includes statistical quality control, process capability index, measurement system analysis, statistical and management tools, design of experiments, and DMAIC project implementation. The trainee will learn about how to:
- Describe the quality level of a process statistically.
- Evaluate the capability of a process in statistical quality control.
- Use control charts and other statistical tools to monitor quality events.
- Use statistical and management tools to identify root causes and potential solutions.
- Carry out DMAIC projects to continuously improve process performance.
Who should attend the course:
- Company executives
- Business managers and directors
- Engineers and R&D Staff
- Enterprise process engineers
- All levels of engineering functions
- An understanding of basic statistics is recommended.
Outline (subject to change)
Session 1 - Six Sigma Overview
- What is Six Sigma
- Six Sigma Concepts and DMAIC Methodology
Session 2 - DMAIC: Define
- From VOC to CTQ
- Project Charter
- Quality Function Deployment (QFD)
Session 3 - Statistics Boot Camp
- Data, Variation, and Probability Distribution
- Standard Deviation Estimates
Session 4 - Six Sigma Quality and Process Capability
- Six Sigma Quality: 3.4 DPMO
- Capability Index: Cp and Cpk
Session 5 - Useful Tools for Six Sigma Projects
- Tools for Management, Planning, and Quality Control
Session 6 - DMAIC: Measure
- Control Charts
- Measurement Systems Analysis (MSA)
Session 7 - DMAIC: Analyze
- Visual Evaluation of Data
- Statistical Tests and Analysis
Session 8 - DMAIC: Improve
- Design of Experiments
- Project D-M-A-I
Session 9 - DMAIC: Control
- Control Phase
- Failure Mode and Effects Analysis (FMEA)
Session 10 - Project Implementation and Sustainment
- Challenges, Guidelines, and Six Sigma Culture
- Conclusion