Statistics for Six Sigma Made Easy! Revised and Expanded Second Edition

by Brussee, Warren

• ISBN13: 9780071797535
• ISBN10: 007179753X
• Edition: 2nd
• Format: Paperback
• Copyright: 2012-08-07
• Publisher: McGraw Hill

Summary

A PLAIN ENGLISH GUIDE TO SOLVING REAL-WORLD PROBLEMS WITH SIX SIGMA 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.

Author Biography

Warren Brussee spent 33 years at General Electric as an engineer, a plant manager, and an engineering manager. The author of numerous bestselling Six Sigma books, he has taught Six Sigma classes to both engineering and manufacturing teams.

Table of Contents

Acknowledgments	p. v
Introduction	p. vii
Overview of the Six Sigma Process and the DMAIC Road Map	p. 1
Six Sigma Methodology and Management's Role in Implementation	p. 3
DMAIC: The Basic Six Sigma Road Map	p. 11
Qualitative Six Sigma Tools	p. 17
Simplified QFD	p. 19
Simplified FMEA	p. 27
Cause-and-Effect Fishbone Diagram	p. 34
Simplified Process Flow Diagram	p. 38
Correlation Tests	p. 44
Foundations for Using Statistical Six Sigma Tools	p. 51
Getting Good Samples and Data	p. 53
Simplified Gauge Verification	p. 69
Probability	p. 78
Data Plots and Distributions	p. 96
Six Sigma Tools to Test for Statistically Significant Change	p. 123
Testing for Statistically Significant Change Using Variables Data	p. 125
Testing for Statistically Significant Change Using Proportional Data	p. 155
Testing for Statistically Significant Change Using Nonnormal Distributions	p. 174
Additional Six Sigma Tools	p. 179
Simplified Design of Experiments	p. 181
Simplified Control Charts	p. 190
Statistical Tools for Design for Six Sigma	p. 199
What Tolerance Is Really Required?	p. 201
Simplified Linear Transfer Functions	p. 208
Quality Department Data and Manufacturing Innovation	p. 213
Comparing Six Sigma Data with Quality Department Data	p. 215
The Next Step for Six Sigma: Manufacturing Innovation	p. 223
The Six Sigma Statistical Tool Finder Matrix	p. 249
Six Sigma Tool Checkoff List	p. 251
Formulas Used in This Book	p. 254
Tables Used in This Book	p. 268
Glossary of Terms	p. 274
Index	p. 281
Table of Contents provided by Ingram. All Rights Reserved.