Statistics for Six Sigma Made Easy! / Edition 2

by Warren Brussee

Overview

Six Sigma is one of the most effective strategies for improving processes, creating better products, and boosting customer satisfaction, but business leaders often balk at its reputation for being too complex. Don't fall into that trap. Six Sigma is simple to understand and implement—if you have Statistics for Six Sigma Made Easy!

Warren Brussee has helped businesses save millions of dollars with Six Sigma, and he explains how you can achieve similar results in this step-by-step guide. He presents 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. Statistics for Six Sigma Made Easy! provides:

• 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 costsavingimprovements right away. Statistics for Six Sigma Made Easy! is the only reference you need to facilitate real-world application of Six Sigma tools.

Product Details

ISBN-13:	9780071797535
Publisher:	McGraw Hill LLC
Publication date:	07/17/2012
Edition description:	List
Pages:	304
Sales rank:	1,099,384
Product dimensions:	7.20(w) x 9.10(h) x 0.80(d)

About the Author

Warren Brussee spent 33 years at General Electric as an engineer, plant manager, and engineering manager, and is the author of numerous bestselling Six Sigma books 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