Six Sigma on a Budget: Achieving More with

An indispensable resource to power any organization's efforts to enhance productivity and efficiencywithout expensive process management consulting. Brussee's other McGraw-Hill Six Sigma books have sold more than 50,000 copies, continue to be strong sellers This is at the forefront of books that focus on what Six Sigma can achieve in recession and post-recession economies A non-specialist approach to Six Sigma that delivers most of the benefit at a fraction of the cost Warren Brusseewas an engineer at General Electric for 33 years, and the author of several books on Six Sigma and process management.

Warren Brussee was an engineer and plant manager at General Electric for 33 years. He is the holder of multiple patents for his Six Sigma work and is the author of numerous Six Sigma books, including Statistics for Six Sigma Made Easy and All About Six Sigma. He lives in Columbia, SC.

Overview
General Six Sigma	p. 3
Introduction	p. 3
The History of Six Sigma	p. 4
The Six Sigma Goal	p. 5
Management's Role	p. 5
Six Sigma Titles	p. 5
Six Sigma Teams	p. 6
Measurements and Problem Solving	p. 7
Metrics and Keeping Score	p. 7
The DMAIC Problem-Solving Method	p. 8
Nonstatistical Six Sigma Tools
Customer-Driven Needs and Concerns	p. 15
The Simplified QFD	p. 15
Traditional QFDs	p. 21
The Simplified FMEA	p. 23
Traditional FMEAs	p. 28
Visual Assists	p. 31
Fishbone Diagrams	p. 31
Instructions for Fishbone Diagrams	p. 32
Simplified Process Flow Diagrams	p. 34
Instructions for Simplified Process Flow Diagrams	p. 37
Visual Correlation Tests	p. 40
Getting Good Data
Data and Samples	p. 49
Types of Data	p. 49
Data Discrimination	p. 50
Collecting Samples	p. 53
Average and Variation	p. 58
Simplified Gauge Verification	p. 71
Checking for Gauge Error	p. 73
Instructions for Simplified Gauge Verification	p. 74
Example of Simplified Gauge Verification on Bearings	p. 76
Gauge R&R	p. 78
Probability, Plots, and Statistical Tests
Data Overview	p. 83
Probability	p. 83
Data Plots and Distributions	p. 92
Plotting Data	p. 108
Testing for Statistically Significant Change	p. 115
Testing for Statistically Significant Change Using Variables Data	p. 115
Using a Sample to Check for a Change versus a Population	p. 124
Checking for a Statistically Significant Change between Two Samples	p. 133
Incidental Statistics Terminology Not Used in Preceding Tests	p. 139
Testing for Statistically Significant Change Using Proportional Data	p. 140
Testing for Statistically Significant Change, Nonnormal Distributions	p. 150
Process Control, Does, and Rss Tolerances
General and Focused Control	p. 157
General Process Control	p. 157
Traditional Control Charts	p. 158
Simplified Control Charts	p. 158
Design of Experiments and Tolerance Analysis	p. 163
Design of Experiments	p. 163
Simplified DOEs	p. 164
RSS Tolerances	p. 165
Appendix: The Six Sigma Statistical Tool Finder Matrix	p. 167
Glossary	p. 169
Related Reading	p. 173
Index	p. 175
Table of Contents provided by Ingram. All Rights Reserved.

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Six Sigma on a Budget: Achieving More with Less Using the Principles of Six Sigma

Summary

Author Biography

Table of Contents

Supplemental Materials