Description
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
