RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition / Edition 2

RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition / Edition 2

ISBN-10:
1498745989
ISBN-13:
9781498745987
Pub. Date:
07/25/2016
Publisher:
Taylor & Francis
ISBN-10:
1498745989
ISBN-13:
9781498745987
Pub. Date:
07/25/2016
Publisher:
Taylor & Francis
RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition / Edition 2

RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition / Edition 2

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Overview

This book continues where DOE Simplified leaves off in Chapter 8 with an introduction to "Response Surface Methods [RSM] for Optimization." It presents this advanced tool for design of experiments (DOE) in a way that anyone with a minimum of technical training can understand and appreciate. Unlike any other book of its kind, RSM Simplified keeps formulas to a minimum—making liberal use of figures, charts, graphs and checklists. It also offers many relevant examples, amusing and fun do-it-yourself exercises.


Product Details

ISBN-13: 9781498745987
Publisher: Taylor & Francis
Publication date: 07/25/2016
Edition description: Revised
Pages: 311
Product dimensions: 7.00(w) x 9.90(h) x 0.70(d)

About the Author

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.

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.
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