Design Of Experiments Using The Taguchi Approach: 16 Steps to Product and Process Improvement

Book Description

Fulfill the practical potential of DOE-with a powerful, 16-step approach for applying the Taguchi method

Over the past decade, Design of Experiments (DOE) has undergone great advances through the work of the Japanese management guru Genechi Taguchi. Yet, until now, books on the Taguchi method have been steeped in theory and complicated statistical analysis. Now this trailblazing work translates the Taguchi method into an easy-to-implement 16-step system.

Based on Ranjit Roy's successful Taguchi training course, this extensively illustrated book/CD-ROM package gives readers the knowledge and skills necessary to understand and apply the Taguchi method to engineering projects-from theory and applications to hands-on analysis of the data. It is suitable for managers and technicians without a college-level engineering or statistical background, and its self-study pace-with exercises included in each chapter-helps readers start using Taguchi DOE tools on the job quickly. Special features include:

An accompanying CD-ROM of Qualitek-4 software, which performs calculations and features all example experiments described in the book
Problem-solving exercises relevant to actual engineering situations, with solutions included at the end of the text
Coverage of two-, three-, and four-level factors, analysis of variance, robust designs, combination designs, and more

Engineers and technical personnel working in process and product design-as well as other professionals interested in the Taguchi method-will find this book/CD-ROM a tremendously important and useful asset for making the most of DOE in their work.

Customer Reviews:

Blatant Commercialism.......2007-05-07

I found this book to be noting but a thinly disquised sales pitch for software, training and consulting services. A real rip off.

Great book for practical applications.......2002-03-29

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.

An Introduction to More Effective Experimentation.......2002-02-20

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.......2002-02-05

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 repeatdly asked my question, he began exchanging emails with me, which then led to some pleasant phone disscussions.

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

User friendly.......2002-02-05

Dr.Roy's book is amazing. He has covered almost everything you need to know about the Taguchi method - even meticulous things. This book will suite both for beginners as well as for experts. The CD which comes along with this book is very helpful in understanding the concept behind the analysis with more than 50 examples. If at all you are looking for a book about Taguchi design of Experiments - I highly recommend one and all to buy Dr.Roy's book and benefit through his work.
I started as a beginner and now Iam an expert in Taguchi analysis - and the credit goes to Dr.Roy - he also helps personally in answering your questions.
Thank you very much Dr.Roy.
Three CHEERS to Dr.Roy!

Statistical Design and Analysis of Engineering Experiments

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Statistical Design and Analysis of Engineering Experiments
Charles Lipson
Manufacturer: Mcgraw-Hill College
ProductGroup: Book
Binding: Hardcover

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ASIN: 0070379912

Practical Experiment Designs : for Engineers and Scientists, 3rd Edition

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Title says it all

Practical Experiment Designs : for Engineers and Scientists, 3rd Edition
William J. Diamond
Manufacturer: Wiley
ProductGroup: Book
Binding: Paperback

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ASIN: 0471390542

Book Description

Most books cover the subject from a statistical or theoretical point of view. Ideal for working engineers, this book uses real-world examples and boils statistical theory and analysis down to its simplest form.
* Features new and updated material, including cases and a larger focus on multivariate analysis.
* Uses simple analysis tools for practical implementation on the job.
* Targets experiment planning as the groundwork for quality experiments.

Customer Reviews:

Title says it all.......2001-08-03

This book is a great introduction to ballanced orthogonal experimental designs. The so-called Scientific Method (tweak one parameter while holding the other variables fixed) is not used that much where there are complicated interactions between variables. This Designed Experimental (DOX) approach is used more frequently in the Semiconductor industry. This approach envolves a series of experiments where all the variables are potentially changed form one trial to another, but in such a way that one can resolved the effects of one variable from another AND understand interactions and non-linear effects. It is simply the best way to optimize a complicated system.

OK, if you have SAS or RS/1 or ...packages you may ask yourself "why bother learning the theory." I would say for 2 reasons - if you need to manually intervene or supplement an existing experiment AND seeing some more designs that are very effecient (John's 3/4 designs and Plackett-Burman designs) for initial screening that is not ususally part of the packages.

Book Description

Learn How to Achieve Optimal Industrial Experimentation Through four editions, Douglas Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. Now, in this fully revised and enhanced Fifth Edition, Montgomery has improved his best-selling text by focusing even more sharply on factorial and fractional factorial design and presenting new analysis techniques (including the generalized linear model). There is also expanded coverage of experiments with random factors, response surface methods, experiments with mixtures, and methods for process robustness studies. The book also illustrates two of today's most powerful software tools for experimental design: Design-Expert(r) and Minitab(r). Throughout the text, You'll find output from these two programs, along with detailed discussion on how computers are currently used in the analysis and design of experiments. You'll also learn how to use statistically designed experiments to:
* Obtain information for characterization and optimization of systems
* Improve manufacturing processes
* Design and develop new processes and products
* Evaluate material alternatives in product design
* Improve the field performance, reliability, and manufacturing aspects of products
* Learn how to conduct experiments effectively and efficiently
Other important textbook features:
* Student version of Design-Expert(r) software is available.
* Web site (www.wiley.com/college/montgomery) offers supplemental text material for each chapter, a sample syllabus, and sample student projects from the author's Design of Experiments course at Arizona State University.

Customer Reviews:

EXCELLENCE.......2007-09-24

Design and Analysis of Experiments
Dr. Montgomery has done his usual excellent job in presenting difficult material in an understandable manner. In addition to its valuable walk through theory, the text is filled with well-executed and informative examples. The homework exercises are the best in his series of books!

good, but overrated.......2007-04-29

+ well-written
+ good examples
- this is the 6th edition, and it is far from being that perfect !
(the author should extend / clarify some sections)
- the errata on the author's web site are no longer updated
- the price

Grad student's review.......2007-02-05

I am a graduate student at ASU. This book is part of the required course materials, since Montgomery is affiliated with ASU. The quality of this textbook is what you may find in a mediocre $40 statistics book. I have not seen statistics dealt with in a more confusing manner. Explanations are incomplete, graphs meant to illustrate concepts are not labeled, symbols and functions are used without defining them, and there are errors in the examples. My understanding was that D. Montgomery has been in this field for a long time. However, basic principles, like including units with the data, are ignored. I expected by the 6th attempt these problems would have been worked out. The other reviews do not make sense to me, since my classmates feel a similar frustration with the book.

Zero Practical Value.......2007-01-31

This book is long on formula derivation, and short on DOE theory. It does not introduce readers to DOE software packages like it claims either.

Also, very poor on real life examples. They exist....but not enough details in order to understand them. I am looking to teach a corporate class on this....too bad the book doesn't come with the professor.

Outstanding, updated and excellent.......2006-09-08

I have used this book in my class on Experimental Design since 1997. Among all the texts I have tried to use to make the teaching of this subject more precise and understandable, this book from Dr. Montgomery have proven to be the more appropriated. The book has new exercises, more teacher resources, and is now more software oriented, something that I found very useful for my students in Dominican Republic.

Design of Experiments for Process Improvement and Quality Assurance (Engineers in Business Series)

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Excellent Information Planning Experiments
review of design of experiments
review of design of experiments
Understandable Design of Experiments and Quality Application

Design of Experiments for Process Improvement and Quality Assurance (Engineers in Business Series)
Robert F. Brewer
Manufacturer: Engineering & Management Press
ProductGroup: Book
Binding: Paperback

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Customer Reviews:

Excellent Information Planning Experiments.......2001-06-14

This book is for someone that has identified problems, and wants to use sound experiments to solve those problems. The book provides some good guidelines, and some good forms for preparing experiments (some of which I use). They emphasize graphical/visual approaches, and avoid statistics, which I missed somewhat. When I travel to different plants to solve problems, I use this book as a reference.

review of design of experiments.......1999-12-26

this book makes statistics understandable! i love the graphics!

review of design of experiments.......1999-12-26

this book makes statistics understandable. i like the graphics!

Understandable Design of Experiments and Quality Application.......1999-01-20

Robert Brewer has written a book that allows you to understand statistical process control techniques without being a mathematician. He uses graphs were ever possible to point out how to tell if a process is working as it should. He also explains ideas like process capability, process improvment and analysis of variance of properties in a straighforward, readable and understandable fashion.

Statistical Design and Analysis of Experiments: With Applications to Engineering and Science (Wiley Series in Probability and Mathematical Statistic)

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well written applications-oriented text
Design and experimental

Statistical Design and Analysis of Experiments: With Applications to Engineering and Science (Wiley Series in Probability and Mathematical Statistic)
Robert L. Mason
Manufacturer: John Wiley & Sons
ProductGroup: Book
Binding: Hardcover

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ASIN: 047185364X

Book Description

A practical guide to statistical methods useful in designing and analyzing experiments. An introductory section provides background information. Part I presents elementary descriptive statistics and graphical displays. Part II addresses experimental design. Part III discusses analysis of data from each of the designs presented in Part II. Part IV is devoted to regression modelling.

Customer Reviews:

well written applications-oriented text.......2000-09-21

Mason, Gunst and Hess have done a great deal of consulting in industry which has provided them with an understanding of the design and analysis of linear and nonlinear models. In fact, I have had some direct experience with Bob Mason from Southwest Research Institute. When I was working at a medical device company owned by St. Jude Medical Inc., Southwest Research Institute had been contracted to analyze data from one of our animal experiments for defibrillation thresholds. As the new statistician in the company I needed to get acquainted with their work. The book illustrates many designs using real world problems. The first 5 chapters (88 pages) cover elementary statistical concepts and methods. The next 6 chapters (145 pages) cover designs. Most standard designs are covered including full factorials, balanced incomplete blocks, latin squares, fractional factorials and nested and crossover designs. There is also a chapter on response surface designs including rotatable designs, central composite designs and Box-Behnken designs. The rest of the book, some 368 pages, deals with statistical analysis of data from designed experiments. It makes a very good reference source.

The only disadvantage of it is that there have been many advances in the design of experiments since 1989 when the book was published. The topic of robust parameter design is not covered because much of the development occurred after 1989. Hints of the topic and mention of the Taguchi approach appear only on pages 108-110. To learn much more about the recent developments in the design of experiments see Hamada and Wu (2000) "Experiments". My review of Hamada and Wu can be found on Amazon.

Design and experimental.......1999-07-07

Anova,multi stage charterlisti

Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs

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Statistical Analysis of Regional Yield Trials: AMMI Analysis of Factorial Designs

Manufacturer: Elsevier Science
ProductGroup: Book
Binding: Hardcover

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ASIN: 0444892400

Book Description

During the last few years, many journal articles have shown the usefulness of the Additive Main Effects and Multiplicative Interaction (AMMI) model for analyzing regional yield trials. AMMI helps agronomists and breeders in several ways: to understand or model complex data sets, especially the interactions; to estimate yields more accurately, even with less data; to make better selections; and to design more efficient yield-trial experiments.

This book is the first systematic treatment of these topics, collecting concepts from the scattered literature and also presenting many new results. Although agricultural applications are emphasized here, AMMI is applicable to two-way data tables containing one kind of data, either replicated or not, so AMMI appears in many areas of science and technology.

The volume's first seven chapters review the agricultural and statistical principles and the final chapter indicates the difference that AMMI can make for agricultural research and world food supplies. This book will be of great value to agricultural scientists throughout the world, enabling them to learn more from their data and thereby make greater progress.

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Statistical Design Analysis of Experiments with Applications to Engineering and Science (Wiley Series in Probability And Statistics)
Robert L; Gunst, Richard F & Hess, James L Mason
Manufacturer: John Wiley & Sons
ProductGroup: Book
Binding: Hardcover
ASIN: B000NPT8BO

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Statistical Design and Analysis of Industrial Experiments (Statistics: a Series of Textbooks and Monogrphs)
Ghosh
Manufacturer: CRC
ProductGroup: Book
Binding: Hardcover

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ASIN: 0824782518

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Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons. (book reviews): An article from: IIE Transactions
John S. Samber
Manufacturer: Institute of Industrial Engineers, Inc. (IIE)
ProductGroup: Book
Binding: Digital

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ASIN: B0009864T4
Release Date: 2005-07-28

Book Description

This digital document is an article from IIE Transactions, published by Institute of Industrial Engineers, Inc. (IIE) on March 1, 1998. The length of the article is 916 words. The page length shown above is based on a typical 300-word page. The article is delivered in HTML format and is available in your Amazon.com Digital Locker immediately after purchase. You can view it with any web browser.

Citation Details
Title: Design and Analysis of Experiments for Statistical Selection, Screening and Multiple Comparisons. (book reviews)
Author: John S. Samber
Publication: IIE Transactions (Refereed)
Date: March 1, 1998
Publisher: Institute of Industrial Engineers, Inc. (IIE)
Volume: v30 Issue: n3 Page: p285(2)

Article Type: Book Review

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