Training materials: Texts: Knowledge Based Management, Basic Statistics: Tools for Continuous Improvement, Understanding Industrial Designed Experiments, Lean Six Sigma: A Tools Guide; Software: SPC XL, DOE KISS, DOE PRO, Simware; Knowledge Notebook, Black Belt student participant guide
Course agenda:
Module 1 Six Sigma... The Journey Begins
Module 2 What is Six Sigma?
Module 3 Define Phase: Project Definition & Management, Teamwork,
Understanding Change, and Voice of the Customer
Module 4 The Role of Statistics in Process Improvement
Module 5 Making Sense Out of Data Using Graphical & Measurement Tools
Module 6 Measurement System Analysis
Module 7 Understanding Data Distributions and Their Applications
Module 8 Sampling Distributions and Confidence Intervals
Module 9 Drawing Conclusions When Comparing Data Sets
Module 10 Process Control and Process Capability
Module 11 Introduction to Regression Analysis and DOE
Module 12 Foundations and Overview of Experimental Design
Module 13 Introduction to Design and Analysis
Module 14 Rules of Thumb
Module 15 Using Regression to Analyze Data
Module 16 Two-Level Design Summary
Module 17 Three-Level Designs
Module 18 Taguchi, Variance Reduction Methods, Robust Designs, and
Multivariate Charts
Module 19 The Control Phase (Realizing and Holding the Gains)
Module 20 Next Steps ... The Journey Continues
Module 21 Putting It All Together: Review of the Six Sigma Tools and
Methodology
Module 22 Extending DOE Concepts to Include Multiple Response
Optimization
Module 23 Historical Data Analysis
Module 24 Regression Model Diagnostics and Assessment
Module 25 Review and Extension of Variance Reduction Techniques
Module 26 Detecting Significant Differences
Module 27 Special Topics
Module 28 The Big Review
Module 29 References, Glossary of Terms, and Course Evaluation
Forms