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Statistics for Six Sigma Made Easy

Book Description

A veteran GE manager explains the tools of Six Sigma--in plain English

This is the first simple, low-level guide to using the powerful statistical tools of Six Sigma to solve real-world problems. Warren Brussee, a Six Sigma manager who helped his teams generate millions of dollars in savings, shows how to plot, interpret, and validate data for a Six Sigma project. The basic statistical tools in the book can be applied to manufacturing, sales, marketing, process, equipment design, and more. Best of all, no background in statistics is required to start improving quality and initiating cost-saving improvements right away.

  • Features dozens of Six Sigma statistical problem-solving case studies
  • Presents a simplified form of the most common Six Sigma tools
  • Simplifies Greenbelt training with one concise reference
  • Explains how to use Excel to make Six Sigma problem-solving calculations
  • Includes all the basic Six Sigma formulas and tables

Table of Contents

  1. Copyright
  2. INTRODUCTION
    1. WHO SHOULD USE THIS BOOK
    2. WHY STATISTICS FOR SIX SIGMA MADE EASY!
    3. TEACHING SIX SIGMA
    4. ACKNOWLEDGMENTS AND DEDICATION
  3. Overview of the Six Sigma Process and the DMAIC Roadmap
    1. Six Sigma Methodology and Management's Role in Implementation
      1. AVERAGE AND VARIATION
      2. SIGMA
      3. IMPLEMENTING SIX SIGMA
      4. WHAT WE HAVE LEARNED IN CHAPTER 1
      5. RELATED READING
    2. DMAIC: The Basic Six Sigma Roadmap
      1. USING DMAIC
      2. WHAT WE HAVE LEARNED IN CHAPTER 2
      3. RELATED READING
  4. Qualitative Six Sigma Tools
    1. Simplified QFD
      1. SIMPLIFIED QFD INSTRUCTIONS
      2. TRADITIONAL QFDS
      3. WHAT WE HAVE LEARNED IN CHAPTER 3
      4. RELATED READING
    2. Simplified FMEA
      1. SIMPLIFIED FMEA INSTRUCTIONS
      2. TRADITIONAL FMEAs
      3. WHAT WE HAVE LEARNED IN CHAPTER 4
      4. RELATED READING AND SOFTWARE
    3. Cause-and-Effect Fishbone Diagram
      1. FISHBONE DIAGRAM INSTRUCTIONS
      2. WHAT WE HAVE LEARNED IN CHAPTER 5
      3. RELATED READING AND SOFTWARE
    4. Simplified Process Flow Diagram
      1. SIMPLIFIED PROCESS FLOW DIAGRAM INSTRUCTIONS
      2. WHAT WE HAVE LEARNED IN CHAPTER 6
      3. RELATED READING AND SOFTWARE
    5. Correlation Tests
      1. CORRELATION TEST INSTRUCTIONS
      2. WHAT WE HAVE LEARNED IN CHAPTER 7
      3. RELATED READING AND SOFTWARE
  5. Foundations for Using Statistical Six Sigma Tools
    1. Getting Good Samples and Data
      1. HAWTHORNE EFFECT
      2. VARIABLES
      3. PROCESS OFF-CENTER
      4. CENTERING OR VARIATION?
      5. PROCESS WITH TOO MUCH VARIATION
      6. IMPORTANCE OF GETTING GOOD SAMPLES AND DATA
      7. WHAT WE HAVE LEARNED IN CHAPTER 8
      8. RELATED READING
    2. Simplified Gauge Verification
      1. MAXIMUM GAUGE ERROR
      2. SIMPLIFIED GAUGE VERIFICATION INSTRUCTIONS
      3. GAUGE R&R
      4. WHAT WE HAVE LEARNED IN CHAPTER 9
      5. RELATED READING AND SOFTWARE
    3. Probability
      1. USES OF PROBABILITY
      2. WHAT WE HAVE LEARNED IN CHAPTER 10
      3. RELATED READING
    4. Data Plots and Distributions
      1. NORMAL DATA
      2. Z VALUE
      3. PLOTTING DATA
      4. WHAT WE HAVE LEARNED IN CHAPTER 11
      5. RELATED READING
  6. Six Sigma Tools to Test for Statistically Significant Change
    1. Testing for Statistically Significant Change Using Variables Data
      1. ESTIMATING A POPULATION AVERAGE AND SIGMA S
      2. USING A SAMPLE TO CHECK FOR A CHANGE VERSUS A POPULATION
      3. CHECKING FOR A CHANGE BETWEEN TWO SAMPLES
      4. INCIDENTAL STATISTICS TERMINOLOGY NOT USED IN ABOVE TESTS
      5. WHAT WE HAVE LEARNED IN CHAPTER 12
      6. RELATED READING AND SOFTWARE
    2. Testing for Statistically Significant Change Using Proportional Data
      1. WHAT WE HAVE LEARNED IN CHAPTER 13
      2. RELATED READING AND SOFTWARE
    3. Testing for Statistically Significant Change Using Non-Normal Distributions
      1. WHAT WE HAVE LEARNED IN CHAPTER 14
      2. RELATED SOFTWARE
  7. Additional Six Sigma Tools
    1. Simplified Design of Experiments
      1. SIMPLIFIED DOE STEPS
      2. WHAT WE HAVE LEARNED IN CHAPTER 15
      3. RELATED READING
    2. Simplified Control Charts
      1. TRADITIONAL CONTROL CHARTS
      2. SIMPLIFIED CONTROL CHARTS
      3. CONTROL CHARTS FOR KPIVs
      4. WHAT WE HAVE LEARNED IN CHAPTER 16
      5. RELATED READING
  8. Statistical Tools for Design for Six Sigma
    1. What Tolerance Is Really Required?
      1. TOLERANCE STACK-UP
      2. RSS TOLERANCE CALCULATIONS
      3. WHAT WE HAVE LEARNED IN CHAPTER 17
      4. RELATED READING AND SOFTWARE
    2. Simplified Linear Transfer Functions
      1. WHAT WE HAVE LEARNED IN CHAPTER 18
      2. RELATED SOFTWARE
  9. Six Sigma Data and Quality Management Data
    1. Comparing Six Sigma Data with Quality Department Data
      1. WHAT WE HAVE LEARNED IN CHAPTER 19
      2. RELATED READING
    2. APPENDIX A The Six Sigma Statistical Tool Finder Matrix
    3. APPENDIX B Six Sigma Tool Check-Off List
    4. APPENDIX C Formulas Used in This Book
      1. From Chapter 9
      2. From Chapter 12
      3. From Chapter 12
      4. From Chapter 12
      5. From Chapter 12
      6. From Chapter 12
      7. From Chapter 12
      8. From Chapter 13
      9. From Chapter 13
      10. From Chapter 13
      11. From Chapter 17
      12. From Chapter 18
      13. From Chapter 19
    5. APPENDIX D Tables Used in This Book
      1. Abbreviated Binomial Table
      2. Standardized Normal Distribution Table
      3. Simplified Chi-Squared Distribution Table
      4. Simplified t Distribution Table
      5. Simplified F Table (95% Confidence)
    6. APPENDIX E Glossary of Terms
  10. ABOUT THE AUTHOR