Response Surface Methodology : Process and Product Optimization Using Designed Experiments

Myers, Raymond H., Montgomery, Douglas C.

ISBN 10: 0471581003 / ISBN 13: 9780471581000

Published by Wiley & Sons, Incorporated, John, 1995

About this Item

Used book that is in clean, average condition without any missing pages.

Seller Inventory # 13563434-6

Bibliographic Details

• Title: Response Surface Methodology : Process and Product Optimization Using Designed Experiments
• Publisher: Wiley & Sons, Incorporated, John
• Publication Date: 1995
• Language: English
• ISBN 10: 0471581003
• ISBN 13: 9780471581000
• Binding: Hardcover
• Edition: 1st Edition.
• Condition: Good

About this title

Synopsis

Covers the exploration and optimization of response surfaces. This is a problem faced by experimenters in many technical fields, where there is an uncontrolled variable of interest and there is also a set of controlled variables. In some systems researchers will know the physical relationship between y and x′s, but commonly they do not and must build an empirical model called a response surface model.

From the Back Cover

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.