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Library | Item Barcode | Call Number | Material Type | Item Category 1 | Status |
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Summary
Summary
"This book is a great demonstration of this powerful approach andhow it can make a meaningful difference in any type of business. Ittakes a dedicated engineering approach to implement, but thepayback in customer satisfaction and growth is dramatic."
--Lou Giuliano, chairman, president, and CEO, ITT Industries
No other single volume presents the full breadth of foundingbeliefs behind the successful engineering practices used by today'sleading companies. Helpful to companies in both manufacturing andservice industries, Taguchi's Quality Engineering Handbookprovides accessible material on such topics as:
* Quality loss function
* On-line quality engineering
* Signal-to-noise ratio
* Robust engineering
* Design of experiments (known as the "Taguchi method")
* Mahalanobis-Taguchi Systems (MTS)
* and more.
Prize or Award
* AAP Awards for Excellence in Professional and ScholarlyPublishing, 2006
Author Notes
Genichi Taguchi, DSc, is Executive Director of the American Supplier Institute (ASI)
Subir Chowdhury, Deng, is Chairman and CEO of ASI Consulting Group
The late Yuin Wu was executive director of ASI
Reviews 1
Choice Review
This review is written at the risk of being superfluous: one can find praise for Taguchi's Quality Engineering Handbook right at the beginning of the book, where several well-known authorities express their opinions--in fact, admiration. This reviewer totally concurs. It remains to praise and congratulate the authors and the publisher for their part in bringing out this great volume of more than 1,600 pages. This handbook will be a great resource in the area of quality engineering. It is in two sections, "Theory" and "Application (Case Studies)." The first section includes Taguchi's latest thinking, a history of quality engineering, quality loss function, signal-to-noise ratio, robust engineering, Mahalonobis-Taguchi System (MTS), software testing and application, on-line quality engineering, experimental regression, and design of experiments. Section 2 contains nearly 100 case studies from various parts of manufacturing. This reviewer wishes he had had this book while writing a book on experimental research. Anyone and everyone involved with manufacturing should read selected parts of this book; they will be wiser for doing so and they will have more confidence in facing problems that are and always will be in manufacturing. ^BSumming Up: Essential. Upper-division undergraduates through professionals. K. Srinagesh University of Massachusetts Dartmouth
Table of Contents
Preface | p. xxv |
Acknowledgments | p. xxix |
About the Authors | p. xxxi |
Section 1 Theory | |
Part I Genichi Taguchi's Latest Thinking | p. 3 |
Part II Quality Engineering: A Historical Perspective | p. 125 |
Part III Quality Loss Function | p. 169 |
Part IV Signal-to-Noise Ratio | p. 221 |
Part V Robust Engineering | p. 311 |
Part VI Mahalanobis-Taguchi System (MTS) | p. 395 |
Part VII Software Testing and Application | p. 423 |
Part VIII On-Line Quality Engineering | p. 435 |
Part IX Experimental Regression | p. 483 |
Part X Design of Experiments | p. 501 |
Section 2 Application (Case Studies) | |
Part I Robust Engineering: Chemical Applications | p. 629 |
Part II Robust Engineering: Electrical Applications | p. 715 |
Part III Robust Engineering: Mechanical Applications | p. 793 |
Part IV Mahalanobis-Taguchi System (MTS) | p. 1169 |
Part V Software Testing and Application | p. 1299 |
Part VI On-Line Quality Engineering | p. 1365 |
Part VII Miscellaneous | p. 1399 |
Section 3 Taguchi's Methods Versus Other Quality Philosophies | |
Appendixes | |
A Orthogonal Arrays and Linear Graphs: Tools for Quality Engineering | p. 1525 |
B Equations for On-Line Process Control | p. 1598 |
C Orthogonal Arrays and Linear Graphs for Chapter 38 | p. 1602 |
Glossary | p. 1618 |
Bibliography | p. 1625 |
Index | p. 1629 |