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Response Surface Methodology: Process and Product Optimization Using Designed Experiments
 
 
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Response Surface Methodology: Process and Product Optimization Using Designed Experiments [Hardcover]

Raymond H. Myers (Author), Douglas C. Montgomery (Author)
4.1 out of 5 stars  See all reviews (7 customer reviews)


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Hardcover, August 29, 1995 --  
There is a newer edition of this item:
Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics) Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Wiley Series in Probability and Statistics) 4.1 out of 5 stars (7)
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Book Description

0471581003 978-0471581000 August 29, 1995 1
Gets you quickly up and running with the full range of powerful statistical experimental design, modeling, and optimization techniques

Coauthored by widely recognized experts in the fields of quality control and the design of experiments, this book is a practical guide to Response Surface Methodology (RSM)—the process of identifying and fitting an appropriate response surface model from experimental data. While in the opening chapters the authors lay down the basic conceptual groundwork preliminary to a working understanding of the methods described, the bulk of the book is devoted to providing students and professionals with clear, step-by-step guidance on the use of powerful statistical and empirical modeling techniques that have proven their efficacy in industry. Throughout, numerous real-world examples help illuminate critical points covered, and chapter-end problems help you to gauge your command of the concepts and procedures described. Important topics covered include:

  • Two-level factorial and fractional factorial designs
  • Empirical modeling using regression techniques
  • Elementary optimization methods
  • Classical and modern response surface designs
  • Robust parameter design methodology
  • Mixture experiments
  • Computer-aided design and problem-solving techniques
  • And much more

Providing clear, hands-on guidance to the application of some of today's most useful techniques, Response Surface Methodology is an essential working resource for process development and quality engineering professionals, engineering designers, product formulators, engineers, chemists, and all those whose professional activities involve the design of experiments.



Editorial Reviews

Review

"The third edition of a well-regarded text on response surface methodology. Christine M. Anderson-Cook, has been added … [bringing] an applied perspective to the material." (Mathematical Reviews, December 2009) --This text refers to the Kindle Edition edition.

From the Publisher

Using a practical approach, it discusses two-level factorial and fractional factorial designs, several aspects of empirical modeling with regression techniques, focusing on response surface methodology, mixture experiments and robust design techniques. Features numerous authentic application examples and problems. Illustrates how computers can be a useful aid in problem solving. Includes a disk containing computer programs for a response surface methodology simulation exercise and concerning mixtures.

Product Details

  • Hardcover: 728 pages
  • Publisher: Wiley-Interscience; 1 edition (August 29, 1995)
  • Language: English
  • ISBN-10: 0471581003
  • ISBN-13: 978-0471581000
  • Product Dimensions: 9.3 x 6.2 x 1.5 inches
  • Shipping Weight: 2.6 pounds
  • Average Customer Review: 4.1 out of 5 stars  See all reviews (7 customer reviews)
  • Amazon Best Sellers Rank: #1,999,528 in Books (See Top 100 in Books)

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Customer Reviews

7 Reviews
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Average Customer Review
4.1 out of 5 stars (7 customer reviews)
 
 
 
 
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25 of 25 people found the following review helpful:
5.0 out of 5 stars an improved second edition by two great writers, January 22, 2008
I took my first short course in response surface designs from Ray Myers at an IPE course. He was a great teacher and taught out of his first book. That book was self-published after he had disagreements with his original publisher. Many years later he and Doug Montgomery joined forces and published the first edition of this book with Wiley. I have reviewed that book previously for amazon.
This second edition is ideal. When I took the course I understood the material so well that I was able to apply the methodology right away in my work. The clarity of these authors is outstanding and they provide a wealth of well illustrated examples. It also is greatly expanded and has many student exercises at the end of each chapter. In addition to the standard response surface designs the book does a good job of coevring experimental design concepts in general and even covers Taguchi designs and robust parameter design. In addition topics such as mixture experiments and evolutionary operation are covered. Advanced topics include the generalized linear models and the general estimating equations approach to mixed effects models and repeated measures ANOVA.

Very authoritative with an extensive list of references and appendices to aid understanding.

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15 of 16 people found the following review helpful:
5.0 out of 5 stars Excellent book, March 27, 1998
By A Customer
This review is from: Response Surface Methodology: Process and Product Optimization Using Designed Experiments (Hardcover)
As a quality engineer for Xerox Mexicana, application of DOE and RSM is part of the day-to-day activities. This book is an excellent tutor to apply RSM. Highly recommended.
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9 of 9 people found the following review helpful:
5.0 out of 5 stars The best RSM book out there! Does NOT miss the point., March 9, 2005
This book is the best Response Surface book available today and was used in my graduate Response Surface courses. Myers and Montgomery do not miss any points with this book - Expected Mean Squares and Nested Factorial Designs are part of the design and analysis of Factorial designs , which are a completely separate field of DOE. These points have no relevance in Response Surface Methodology.

If you are looking for an excellent book, this is the one for you! It includes many practical discussions on choosing the right design for your analysis (great for engineers), as well as details of the matrix algebra used in the analysis of response surface designs (great for methematicians or statisticians). You will not find a better book!
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Inside This Book (learn more)
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First Sentence:
In the practical application of response surface methodology (RSM) it is necessary to develop an approximating model for the true response surface. Read the first page
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
variance dispersion graphs, process robustness studies, transistor gain data, plasma etch experiment, reduced quadratic model, scaled prediction variance, coded design units, pure error degrees, experimental design region, axial check blends, constraint plane centroids, crossed array design, one center run, pulloff force, cuboidal region, variance response surface, quadratic mixture model, average prediction variance, inverted simplex, original component proportions, factorial portion, manufacturability index, minimum variance design, special cubic model, fitted response model
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Source Squares, Sum of Mean, Final Equation, Square Value Prob, Consider Exercise, Coefficient Standard, Cor Total, Error Low High, Adj R-Squared, Pred R-Squared, Adeq Precision, Factor Estimate, Sequential Model Sum of Squares, Adjusted R-Squared, Consider Example, Model Summary Statistics, Suggested Aliased, Terms of Coded Factors, Further Comments, Radius Figure, Terms of Actual Factors, Del Castillo, Continuation of Exercise, Effect Figure, Run Number Time Temperature Nickel Thickness
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