
Course agenda:
Module 1 ~ Lean Six Sigma... The Journey Begins
Module 2 ~ Lean Six Sigma Fundamentals
Module 3 ~ Defining the Project and Managing Change
Module 4 ~ Understanding the Voice of the Customer (VOC) and Defining a Process
Module 5 ~ Measure ... Making Sense Out of Data Using Graphical & Measurement Tools
Module 6 ~ Measurement System Analysis
Module 7 ~ Analyzing the Causes of Poor Performance
Module 8 ~ Techniques for Narrowing the Focus
Module 9 ~ Drawing Conclusions from Sampled Data
Module 10 ~ Improving the Process and Work Flow
Module 11 ~ Controlling the Process Performance/Realizing and Holding the Gains
Module 12 ~ DMAIC Summary -
Module 13 ~ References, Glossary of Terms, Course Evaluations
Module 14 ~ Review of DMAIC Tools and Techniques
Module 15 ~ Additional Lean Tools to Define and Measure
Module 16 ~ Analyze Data Using Probability Distributions
Module 17 ~ Regression Modeling to Analyze and Improve
Module 18 ~ Introduction to the Use of Design of Experiments (DOE) to Analyze and Improve
Module 19 ~ Two-
Module 20 ~ Three-
Module 21 ~ Rules of Thumb and DOE Design Selection
Module 22 ~ Quick Review of DMAIC and DOE
Module 23 ~ Additional Lean Improvement Tools
Module 24 ~ Additional Hypothesis Tests to Analyze and Improve
Module 25 ~ DOE Diagnostics and Assessments
Module 26 ~ Advanced DOE Analysis Techniques and Designs
Module 27 ~ Historical Data Analysis
Module 28 ~ Lean Six Sigma Mini-
Module 29 ~ Advanced Black Belt Topics and Training
Module 30 ~ References, Glossary of Terms, and Course Evaluation Forms
Introduction to Design for Six Sigma (DFSS)
Six Sigma Fundamentals
Measurement System Analysis
Understanding Data Distributions and Their Applications
Introduction to Regression Analysis and Design of Experiments (DOE)
Foundations of Design of Experiments (DOE)
Design and Analysis of Experiments
Rules of Thumb for DOE
Two Level Design Summary
Three Level Designs
Keeping Score
Voice of the Customer
The Transfer Function
Design for Robust Performance
Tolerance Allocation
Design for X-
Product Capability Prediction
Test and Validate
Stat-

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