Anderson / Whitcomb RSM Simplified

Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition
2. Auflage 2016
ISBN: 978-1-4987-4599-4
Verlag: CRC Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 311 Seiten

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.

Autoren/Hrsg.

Anderson, Mark J.

Whitcomb, Patrick J.

Fachgebiete

• Wirtschaftswissenschaften Betriebswirtschaft Management Entscheidungsfindung
• Technische Wissenschaften Maschinenbau | Werkstoffkunde Produktionstechnik Fertigungstechnik

Inhaltsverzeichnis

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.

Über Autor(innen)

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.