Rsm Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition

ISBN-13: 9781498745987 / Angielski / Miękka / 2016 / 297 str.

Mark J. Anderson; Patrick J. Whitcomb

Opis

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.

Spis treści

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.

O autorze

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.