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.
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. Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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