All About Six Sigma provides clear, straightforwardexplanations of how to apply Six Sigma sono matter what your experience, you can introduce, implement,and complete a Six Sigma project. WarrenBrussee presents a simplified form of the mostcommon Six Sigma tools, providing techniquesfor easy application while optimizing processesand results.

Warren Brussee is a Six Sigma Green Belt with decades of experience implementing and training Six Sigma. Brussee spent 33 years at GE, ground zero for Six Sigma, and currently consults and teaches on the topic. He is the author of Statistics for Six Sigma Made Easy.

PART ONE: OVERVIEW
Chapter 1 The History and Methodology of Six Sigma
Chapter 2 Management's Role
Chapter 3 Six Sigma Titles and Teams
Chapter 4 Metrics and Keeping Score
Chapter 5 The DMAIC Problem-Solving Method
PART TWO: NONSTATISTICAL SIX SIGMA TOOLS
Chapter 6 Simplified QFDs
Chapter 7 Simplified FMEAs
Chapter 8 Fishbone Diagrams
Chapter 9 Simplified Process Flow Diagrams
Chapter 10 Visual Correlation Tests
Chapter 11 Reality-Based Tolerances
PART THREE: GETTING GOOD DATA
Chapter 12 Types of Data
Chapter 13 Collecting Samples
Chapter 14 Simplified Gauge Verification
PART FOUR: BASIC PROBABILITY AND PLOTTING
Chapter 15 Probability
Chapter 16 Data Plots and Distributions
PART FIVE: TESTING FOR STATISTICAL DIFFERENCES IN DATA
Chapter 17 Testing for Statistically Significant Change Using Variables Data
Chapter 18 Testing for Statistically Significant Change Using Proportional Data
Chapter 19 Testing for Statistically Significant Change in Nonnormal Distributions
PART SIX: CONTROLLING A PROCESS AND TEACHING SIX SIGMA
Chapter 20 Keeping a Process in Control
Chapter 21 Teaching Six Sigma
PART SIVEN: MISCELLANEOUS OTHER SIX SIGMA TOOLS-OVERVIEW
Chapter 22 Simplified Control Charts
Chapter 23 Design of Experiments (DOEs)
Chapter 24 RSS Tolerance Stack-Ups
Appendix The Six Sigma Statistical Tool Finder Matrix
Glossary
Related Reading And Software
Index
About The Author