Part 2 in this webinar series shows formulators how they can mix their cake and bake it too, that is, combine mixture design with response surface methods (RSM) for process optimization. Again, as in part 1 of this two part series, it's done in keep-it-simple-statistical (KISS) fashion by a chemical engineer who worked in R&D. Along these lines of practicality, a tool for handling hard-to-change factors called "split plot design" will be provided as well.
- Continues from DOE basics and mixture design in Part 1
See how processing conditions can be added to a mixture experiment via a combined DOE
Discover how to contend with hard-to-change inputs via "split plots"
Mark J. Anderson, PE, CQE, MBA - Stat Ease, Inc
Mark 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 two books, 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.
Professional Credentials: - Professional Engineer (PE), #015059 MN - Certified Quality Engineer (CQE), #20446
Education: - Bachelor of Chemical Engineering, University of Minnesota, 1975, High Distinction - MBA, University of Minnesota, 1980, Beta Gamma Sigma (honorary academic society)