This first webinar in the series presents tools for design of experiments (DOE) that are geared specifically to development of product formulations. It's done in keep-it-simple-statistical (KISS) fashion by a chemical engineer who worked in R&D. Anyone with a modicum of math will easily grasp and gain appreciation for the efficiency and effectiveness of these multicomponent testing methods, aka "mixture design".
- Show what's in it for formulators to make use of powerful tools for mixture design of experiments (DOE)
- Review the advantages of multicomponent testing (as opposed to one ingredient at a time)
- Demonstrate methodology for building useful predictive models that lead to sweet spots – ideal recipes achieving all specifications
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)