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Review"students will continue to find this book useful as a reference text long after the course they bought it for has finished." (Quality & Reliability Engineering International, , March/April 2002)
Product DescriptionLearn 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.
From the Back CoverLearn 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® and Minitab®. 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
- Student version of Design-Expert® software is available.
About the AuthorDouglas C. Montgomery, Regents' Professor of Industrial Engineering and Statistics at Arizona State University, received his B.S., M.S., and Ph.D. degrees from Virginia Polytechnic Institute, all in engineering. From 1969 to 1984, he was a faculty member of the School of Industrial & Systems Engineering at the Georgia Institute of Technology; from 1984 to 1988, he was at the University of Washington, where he held the John M. Fluke Distinguished chair of Manufacturing Engineering, was Professor of Mechanical Engineering, and Director of the Program in industrial Engineering. He has authored and coauthored many technical papers as well as twelve other books. Dr. Montgomery is a Stewart Medalist of the American Society for Quality, and has also received the Brumbaugh Award, the William G. Hunter Award, and the Shewell Award(twice) from the ASQ. --This text refers to an alternate Hardcover edition.
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