Textbooks on Taguchi Design of Experiments

Design of Experiments Using the Taguchi Approach : 16 Steps to Product and Process Improvement
by Ranjit K. Roy
Hardcover - 600 pages Bk&Cd-Rom edition (January 2001) John Wiley & Sons; ISBN: 0471361011
This book is a self-study guide for DOE/Taguchi technique. "I wrote this book for those of you who feel comfortable learning while doing it, hands-on. After over fifteen years of training and software development experience, I thought it would be a good idea to combine computer in the learning process. I have attempted to take you through the application steps one at a time with several examples in each. All examples and exercises are worked out using Qualitek-4 software provided with the book. As you read the book, you will be able to see all example solutions displayed on your computer screen. If you do not have the time to attend my seminar, you will enjoy the plain language explanation of the application principles. " - Ranjit Roy, Author, Aug. 2000.

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Contents:

Overview

Introduction .........................................................................................

Step Lessons at a Glance:
Step 1: Design of Experiments and the Taguchi Approach
Step 2: Performance Evaluation and Measurement
Step 3: Common Experiments and Methods of Analyses
Step 4: Designing Experiments Using Orthogonal Arrays
Step 5. Designing Experiments with 2-level Factors
Step 6: Deigning Experiments with 3-level and 4-level Factors
Step 7: Analysis of Variance (ANOVA)
Step 8: Designing Experiments to Study Interactions Between Factors
Step 9: Experiments with Mixed-level Factors
Step 10: Combination Designs
Step 11: Robust Design Strategy
Step 12: Analysis Using Signal to Noise Ratios (S/N)
Step 13: Analysis of Results Using Multiple Criteria of Evaluations
Step 14: Quantification of Variation Reduction and Performance Improvement
Step 15: Effective Experiment Planning
Step 16: Example Case Studies
Appendix I

Great book for practical applications
I bought this book hoping to learn DOE using Taguchi Methods and apply what I learned to real life problems in my work. It was very helpful. Not only did it help me learn the methods I needed to perform my testing at work but I did it in only 8 days of reading. The book was very easy to read and the examples helped me understand everything I needed to know to apply this method to real situations. A great buy for anyone looking to learn Taguchi Methods.

User Reviews: Click here to read recent reviews

An Introduction to More Effective Experimentation
The challenge that all research directors and senior scientists face is that virtually all scientists are originally trained to believe that the only proper way to conduct an experiment is to vary only one factor at a time while holding all other variables fixed. This belief, which can be shown mathematically to be totally incorrect, has been a drag on the scientific community for decades, causing experimental science to be much less productive than it should be. In fact, by properly designing experiments in which several factors are varied in a carefully thought out, predetermined pattern, much more information can be obtained with far fewer experiments.

What Dr. Roy has achieved in his book on experimental design is to clearly explain why this is so and to provide the tools which allows his readers to overcome their ingrained beliefs and adopt a more effective method of designing their own experimental programs.

Of particular interest is his discussion of experimental design using orthogonal arrays (Chapter 4) for it is in this part of the book that the full power of modern approaches to experimentation become most evident. Here, he illustrates how a set of as few as eight experiments can be used to determine how three presumable independent factors, such as time, temperature and concentration, can be studied to obtain detailed information not only on how each factor individually effects the quality of the final product, but also on the extent to which the factors interact.

Historically, learning this type of technique for designing experiments has been a daunting task since somewhat tedious mathematically manipulations are required for both the design of the experiment and the analyses of the resulting data. However, included with Dr. Roy's book is complete software which eliminates the need for the experimenter to either manually solve the handful of equations needed to extract the results in useful form, or to develop custom spreadsheets in an attempt to automate the process. The software is easy to use and includes all of the tables and data which are used in the book to illustrate the principles of experimental design. The software is also capable of assisting the experimenter in designing sets of up to eight concurrent experiments, rapidly analyzing the data and generating graphical and tabular presentations which greatly aid in the interpretation of the results.

This is an extremely useful book which can have a major beneficial effect on the productivity of any laboratory engaged in experimental process research such as crystal growth, chemical synthesis or manufacturing. By allowing the reader to overcome his innate aversion to varying more than one experimental factor at a time, the book makes it possible for the reader to become a much more productive scientist or engineer and become a role model for his coworkers to emulate.

Must have for Quality Control Professionals and Educators
First, I completely agree with all the good things mentioned in the other reviews, but wish to add the following comments:

1. The discussion group (usenet) hosted by Dr Roy is fantastic. If by chance you don't "get it" from reading the book, a simple question posted to the usenet frequently gets you an answer, often within a few hours (its a vocal crowd!!). Many times, the author himself responds to usenet questions. And, on at least one instance, after I repeatedly asked my question, he began exchanging emails with me, which then led to some pleasant phone discussions.

2. User friendly software and support. See above.

3. Taguichi is frequently attacked by full blown Design of Experiments statistical types who miss the whole point. I strongly encourage all professionals interested in gauging quality control to try out his books and the free software downloads....

An excellent book with powerful software and support......

Reads like a winner, looks like a winner, performs likes a winner....... need I say more...

Auburn Alabama

Reference Text: A Primer on the Taguchi Method by R. Roy

A PRIMER ON THE TAGUCHI METHOD is a practical guide which introduces you to the basic concepts, techniques, and applications of the Taguchi approach, in a clear simple, and essentially non-mathematical presentation.

How to Order: (Use the book title to search to find and place your order)
Design of Experiments Using Taguchi Approach: 16 Steps to Product and Process Improvement - Ranjit Roy (ISBN: 0471361011, Published by John Wiley 2001, also available as eBook version). To place an order or to request information, write, call, fax, John Wiley & Sons, 605 Third Avenue, New York, NY 10158-0012.
BUY: Click here to purchase this book from the publisher and receive 20% discounts
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Primer on the Taguchi Method - Ranjit Roy (ISBN:087263468X Originally published in 1989 by Van Nostrand Reinhold. Current publisher/source is Society of Manufacturing Engineers). The book is available directly from the publisher, Society of Manufacturing Engineers (SME ) P.O. Box 6028, Dearborn, Michigan 48121, USA.256 Pages. 50 Illustrations. Order code: 2436-2487. To place an order or to request information, write, call, fax, or visit SME website (SME http://www.sme.org). Call 1-800-733-4763 or Fax: 313-271-2861 or 313-240-8252 (USA) or order from AMAZON.COM

Additional References:
1. Patrick M. Burgman. Design of Experiments The Taguchi Way. Manufacturing Engineering. May 1985
2. Yuin Wu and Dr. Willie Hobbs Moore. 1986. Quality Engineering Product and Process Optimization. Dearborn, Michigan. American Supplier Institute.
3. Ronald L. Iman and W.J Conover. 1983. A Modern Approach to Statistics. John Wiley & Sons.
4. Yuin Wu. 1986. Orthogonal Arrays and Linear Graphs. Dearborn, Michigan. American Supplier Institute.
5. Burton Gunter. 1987. A Perspective on the Taguchi Methods. Quality Progress.
6. Lawrence P. Sullivan. June 1987. A Power of the Taguchi Methods. Quality Progress.
7. Philip J. Ross. 1988. Taguchi Techniques for Quality Engineering, McGraw Hill Book Company. New York, NY.
8. Thomas B. Baker and Don P. Causing. March 1984. Quality Engineering by Design The Taguchi Method. 40th Annual ASQC Conference.
9. Jim Quinlan. 1985. Product Improvement By Application of Taguchi Methods, Flex Products, Inc., Midvale, Ohio. Winner of Taguchi Applications Award by American Supplier Institute.
10. Genichi Taguchi. 1987. System of Experimental Designs, UNIPUB, Kraus International Publications, New York.