Design and Analysis of Experiments

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9780471381822: Design and Analysis of Experiments

Now in its 6th edition, this bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments.

Douglas Montgomery arms readers with the most effective approach for learning how to design, conduct, and analyze experiments that optimize performance in products and processes. He shows how to use statistically designed experiments to obtain information for characterization and optimization of systems, improve manufacturing processes, and design and develop new processes and products. You will also learn how to evaluate material alternatives in product design, improve the field performance, reliability, and manufacturing aspects of products, and conduct experiments effectively and efficiently.

Discover how to improve the quality and efficiency of working systems with this highly-acclaimed book. This 6th Edition:

  • Places a strong focus on the use of the computer, providing output from two software products: Minitab and DesignExpert.
  • Presents timely, new examples as well as expanded coverage on adding runs to a fractional factorial to de-alias effects.
  • Includes detailed discussions on how computers are currently used in the analysis and design of experiments.
  • Offers new material on a number of important topics, including follow-up experimentation and split-plot design.
  • Focuses even more sharply on factorial and fractional factorial design.

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From the Back Cover:

Learn how to achieve optimal experimentation

Edition after edition, 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 Sixth Edition, Montgomery has enhanced his best-selling text with timely new examples, expanded material on follow-up experimentation following a fractional factorial, and more coverage of split-plot designs.

You’ll 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

The book also illustrates two of today’s most powerful software tools for experimental design: Design-Expert® and Minitab®. Throughout the book, 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. Data sets, supplemental materials, and sample projects are available online at www.wiley.com/college/montgomery.

About the Author:

Douglas C. Montgomery Professor of 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.

Dr. Montgomery has research and teaching interests in industrial statistics including statistical quality control techniques, design of experiments, regression analysis and empirical model building, and the application of operations research methodology to problems in manufacturing systems. He has authored and coauthored many technical papers in these fields and is an author of twelve other books. Dr. Montgomery is a Fellow of the American Society for Quality, a Fellow of the American Statistical Association, a Fellow of the Royal Statistical Society, a Fellow of the Institute of Industrial Engineers, and an Elected member of the International Statistical Institute. He is a Stewart Medallist 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. He is a recipient of the Ellis R. Ott Award. He is a former editor of the Journal of Quality Technology, the current editor of Quality and Reliability Engineering International, and serves on the editorial boards of several journals.

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