RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments
by Mark J. Anderson and Patrick J. Whitcomb
RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments presents a practical tool for design of experiments. RSM Simplified follows DOE Simplified with useful examples and exercises for the reader. Using the foundation of DOE Simplified, the authors have written this book for those proficient in the basic steps of design and analysis of experiments. For those just delving into DOE, the two book series would provide an inclusive means of maximizing results.
A very appropriate quote included in the preface of this book is from Yogi Berra, “Prediction is very hard, especially when it is about the future.”
RSM Simplified includes a time-limited educational version of an advanced software that is tailored for techniques presented. The CD-ROM is used in the tutorials and provides an enhanced learning tool for the user to understand the concepts and apply them to relevant practice problems.
The book is organized into eleven chapters:
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
RSM Simplified is very thorough in its overview of response surface methods with many practical examples. The formulas are kept to a minimum and practical exercises are included for the reader. The book is very easy to read and understand. Also included with the book is a 180-day trial of the Design-Expert Software Version 7.0 for Windows. The software performs advanced statistical computations, generate 2D and 3D graphics, and perform numerical optimization.