Statistics for Six Sigma Made Easy! / Edition 1

Statistics for Six Sigma Made Easy! / Edition 1

by Warren Brussee
ISBN-10:
0071433856
ISBN-13:
9780071433853
Pub. Date:
05/12/2004
Publisher:
McGraw-Hill Companies, The
ISBN-10:
0071433856
ISBN-13:
9780071433853
Pub. Date:
05/12/2004
Publisher:
McGraw-Hill Companies, The
Statistics for Six Sigma Made Easy! / Edition 1

Statistics for Six Sigma Made Easy! / Edition 1

by Warren Brussee

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Overview

The first plain-English guide to solving real-world problems with Six Sigma

So you're ready to improve your processes and products and satisfy your customers through Six Sigma--but you're not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate millions of dollars in savings, explains how to use the powerful statistical tools of Six Sigma in easy-to-understand language.

In this step-by-step guide, you get a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem solving method used by Six Sigma Greenbelts for projects and process improvements. You'll see how to plot, interpret, and validate data for a Six Sigma project. You will use Excel to make Six Sigma problem-solving calculations in a wide range of areas, from sales and marketing to manufacturing, process work, equipment design, and more. Each chapter also features a brief review of what you've learned. Plus, you get:

  • A simplified form of the most common Six Sigma tools
  • All the basic Six Sigma formulas and tables
  • Dozens of Six Sigma statistical problem-solving case studies
  • A matrix for finding the right statistical tool to meet your needs
  • Basic Greenbelt training in one concise reference

Best of all, no background in statistics is required--you can start improving quality and initiating cost-saving improvements right away. With all these benefits and authoritative guidance, Statistics for Six Sigma Made Easy is the only reference you need to facilitate real-world application of Six Sigma tools.

Warren Brussee (Columbia, SC) spent 33 years at General Electric as an engineer, plant manager, and engineering manager. He has taught Six Sigma classes to both engineering and manufacturing teams.


Product Details

ISBN-13: 9780071433853
Publisher: McGraw-Hill Companies, The
Publication date: 05/12/2004
Pages: 250
Product dimensions: 7.30(w) x 9.30(h) x 0.64(d)

About the Author

Warren Brussee (Columbia, SC) spent 33 years at General Electric as an engineer, plant manager, and engineering manager. He has taught Six Sigma classes to both engineering and manufacturing teams.

Table of Contents

Acknowledgments v

Introduction vii

Part I Overview of the Six Sigma Process and the DMAIC Road Map 1

Chapter 1 Six Sigma Methodology and Management's Role in Implementation 3

Chapter 2 DMAIC: The Basic Six Sigma Road Map 11

Part II Qualitative Six Sigma Tools 17

Chapter 3 Simplified QFD 19

Chapter 4 Simplified FMEA 27

Chapter 5 Cause-and-Effect Fishbone Diagram 34

Chapter 6 Simplified Process Flow Diagram 38

Chapter 7 Correlation Tests 44

Part III Foundations for Using Statistical Six Sigma Tools 51

Chapter 8 Getting Good Samples and Data 53

Chapter 9 Simplified Gauge Verification 69

Chapter 10 Probability 78

Chapter 11 Data Plots and Distributions 96

Part IV Six Sigma Tools to Test for Statistically Significant Change 123

Chapter 12 Testing for Statistically Significant Change Using Variables Data 125

Chapter 13 Testing for Statistically Significant Change Using Proportional Data 155

Chapter 14 Testing for Statistically Significant Change Using Nonnormal Distributions 174

Part V Additional Six Sigma Tools 179

Chapter 15 Simplified Design of Experiments 181

Chapter 16 Simplified Control Charts 190

Part VI Statistical Tools for Design for Six Sigma 199

Chapter 17 What Tolerance Is Really Required? 201

Chapter 18 Simplified Linear Transfer Functions 208

Part VII Quality Department Data and Manufacturing Innovation 213

Chapter 19 Comparing Six Sigma Data with Quality Department Data 215

Chapter 20 The Next Step for Six Sigma: Manufacturing Innovation 223

Appendix A The Six Sigma Statistical Tool Finder Matrix 249

Appendix B Six Sigma Tool Checkoff List 251

Appendix C Formulas Used in This Book 254

Appendix D Tables Used in This Book 268

Appendix E Glossary of Terms 274

Index 281

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