RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition, 2nd Edition (Paperback) book cover

RSM Simplified

Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition, 2nd Edition

By Mark J. Anderson, Patrick J. Whitcomb

Productivity Press

297 pages | 141 B/W Illus.

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Paperback: 9781498745987
pub: 2016-07-25
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pub: 2017-08-15
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pub: 2016-08-05
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Description

Anderson and Whitcomb pick up where they left off in DOE Simplified with RSM Simplified -- a practical tool for design of experiments that anyone with a minimum of technical training can understand and appreciate. Their approach is simple and fun for those who desire knowledge on response surface methods but are put off by the academic nature of other books on the topic.

RSM Simplified keeps formulas to a minimum and makes liberal use of figures, charts, graphs, and checklists. It offers many relevant examples with amusing sidebars and do-it-yourself exercises that will lead readers to the peak potential for their product quality and process efficiency.

Reviews

"RSM Simplified is a thorough but succinct overview of response surface methods. It equips the typical engineer or industrial scientist with all that he will need to start using these powerful optimization techniques…"

-John D. Guerin, Ph.D., President, Turning Points Management Consulting, Inc.

"Anderson and Whitcomb have done it again. The perfect companion to their DOE Simplified, RSM Simplified leads the practitioner through the potentially dry and complicated subject of response surface methodology with ease. There are plenty of real-world examples and generous illustrations to detail current best practice in RSM. What truly sets their book apart, however, is the relaxed style and the liberal inclusion of anecdotes and historical perspectives which, without compromises in statistical rigor, gives the work a light, even entertaining quality. I highly recommend this book for Six Sigma and Design for Six Sigma Black Belts - indeed anyone - with responsibilities for modeling and optimizing processes. "

-Thomas A. Scripps, Scripps & Associates, PC

"This book is perfect introductory material for quality and Six Sigma professionals who need to learn the tools for identifying critical process parameters and optimizing their processes."

-Shin Ta Liu, Lynx Systems, San Diego, CA (in Quality Progress magazine)

Table of Contents

Preface. Chapter 1: Introduction to the Beauty of Response Surface Methods. Chapter 2: Lessons to Learn from Happenstance Regression. Chapter 3: Factorials to set the stage for more glamorous RSM Designs. Chapter 4: Central Composite Design: Stars Added-RSM Show Begins. Chapter 5: Three-Level Designs. Chapter 6: Finding your sweet spot for multiple responses. Chapter 7: Computer-generated optimal designs. Chapter 8: Everything you should know about CCDs (but dare not ask!). Chapter 9: RSM for Six Sigma. Chapter 10: Other Applications for RSM. Chapter 11: Applying RSM to Mixtures. Glossary. References. About the authors. Index.

About the Authors

Mark Anderson is a principal and general manager of Stat-Ease, Inc. Prior to joining the firm, he spearheaded an award-winning quality improvement program for an international manufacturer, generating millions of dollars in profit. Mark offers a diverse array of experience in process development, quality assurance, marketing, purchasing, and general management. Mark is also co-author of: DOE Simplified: Practical Tools for Effective Experimentation and RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, and has published numerous articles on design of experiments (DOE). He is also a guest lecturer at the University of MN Chemical Engineering & Materials Science department and the Ohio State University Fisher College of Business.

Subject Categories

BISAC Subject Codes/Headings:
BUS000000
BUSINESS & ECONOMICS / General
BUS019000
BUSINESS & ECONOMICS / Decision-Making & Problem Solving
TEC020000
TECHNOLOGY & ENGINEERING / Manufacturing