Product Description

This bestselling professional reference has helped over 100,000 engineers and scientists with the success of their experiments. The new edition includes more software examples taken from the three most dominant programs in the field: Minitab, JMP, and SAS. Additional material has also been added in several chapters, including new developments in robust design and factorial designs. New examples and exercises are also presented to illustrate the use of designed experiments in service and transactional organizations. Engineers will be able to apply this information to improve the quality and efficiency of working systems.

Product Details

• Amazon Sales Rank: #265828 in Books
• Published on: 2009-01-20
• Original language: English
• Binding: Paperback
• 680 pages

Review
“…edition after edition, Montgomery has provided statisticians, engineers, scientists, and managers with the most effective approach for learning…” (HTM, January 2007)

From the Back Cover
Master the experimental techniques that achieve optimal performance.

Across a wide range of fields—from industrial engineering to business and statistics—Douglas Montgomery’s Design and Analysis of Experiments has been a foundational work for students and professionals needing to design, conduct, and analyze experiments for optimizing performance in products and processes.

Like its bestselling predecessors, the Seventh Edition shows you 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

Placing a strong focus on the use of the computer, the new edition makes much more use of optimal designs and includes even more software examples than before, taken from the three most dominant programs in the field: Minitab, Design–Expert V7, and JMP. You’ll also find additional material discussing the latest developments in robust design and factorial designs along with fresh examples and exercises that illustrate the use of designed experiments in service and transactional organizations.

About the Author
Douglas 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 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.

Customer Reviews

A little too detailed for newcomers!
As with all Montgomerys books the content is excellent and well presented, however, I found it a little tough to follow past the first few chapters. For those seeking an introduction to DOE I would recomment Mongomerys Applied Statistics and Probability for Engineers. You really need a strong knowledge of statistics for this book.

an excellent buy
I highly recommend this book for people who need to get to grips with experiment designs, particularly designs for factor screening and tuning

OK, but unprecise
This book has been my first introduction to design of experiments. Being a software developer in the process of developing a DoE system, I found it to be thorough but somewhat unclear at some issues. Several central issues and techniques are "defined" by means of examples. A more to the point and general approach both to the definition of terms and to the description of techniques (dare I say algorithms?) would have been much appreciated.

I would also have appreciated it if the "supplemental material" had been included in the book instead of being inconveniently provided online as pdf files.