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Cover image for Implementing six sigma : smarter solutions using statistical methods
Title:
Implementing six sigma : smarter solutions using statistical methods
Personal Author:
Publication Information:
New York : John Wiley, 1999
ISBN:
9780471296591

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30000004378281 TS156 B73 1999 Open Access Book Book
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30000005034040 TS156 B73 1999 Open Access Book Book
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Summary

Summary

Filled with excellent diagrams and examples, the book discusses the theories of Edward Deming and other quality gurus, as well as the history of the Six Sigma program. It helps you lay the foundation for a Six Sigma program and discusses how to get upper management involved in the process.

But the heart of the book is the statistical tools used in Six Sigma. From FMEA (Failure Mode and Effect Analysis) to QFD (Quality Functional Deployment) and DOE (Design of Experiment), Implementing Six Sigma is your guide to understanding these powerful improvement techniques. Rather than just a brief overview, it breaks down each tool into a separate chapter and gives an in-depth analysis of each process. The chapters contain exercises that help you understand the tools and how to best utilize each one to achieve a minimum number of defects in the production process.

Written in an engaging style, this book is your guide to implementing a Six Sigma program. Contains appendices with numerous examples and copies of actual implementation guides used at Motorola.

Hardback / 1999 / 791 pages


Author Notes

FORREST W. BREYFOGLE III is founder and President of Smarter Solutions, a company specializing in training and consulting in Six Sigma methodologies. He is the author of Statistical Methods for Testing, Development, and Manufacturing (Wiley) and his articles have been published in Quality Engineering, Quality and Reliability Engineering International, and other publications.


Table of Contents

S 4 Deployment Strategy Phase
Six Sigma Overview and Implementation
S 4 Measurement Phase
Basic Tools
Probability
Overview of Distributions and Statistical Processes
Basic Control Charts
Process Capability and Process Performance
S 4 Analysis Phase
Visualization of Data
Comparison Tests: Continuous Response
Bootstrapping
Variance Components
S 4 Improvement Phase
Benefiting from Design of Experiments (DOE)
Variability Reduction Through DOE and Taguchi Considerations
S 4 Control Phase
Other Control Charting Alternatives
Exponentially Weighted Moving Average (EWMA) and Engineering Process Control (EPC)
Control Plan and Other Strategies
Pass/Fail Functional Testing
Appendices
List of Symbols
Glossary
References
Index
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