Experiment Design Tailored to Six Sigma 2020-04-20T22:15:00+00:00

Webinar: Experiment Design Tailored to Six Sigma

This presentation briefs Six Sigma professionals on design of experiment (DOE) and response surface methods (RSM) aimed at developing robust processes. It begins with fundamental factorials by demonstrating the advantages of standard one-array templates over Taguchi parameter designs (two-array). It then advances the discussion to advanced tools for RSM that favor high plateaus over sharp peaks. The webinar draws the material from the book RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, Second Edition, 2016, CRC Press by Mark Anderson and Pat Whitcomb.

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Mark J. Anderson
Mark J. AndersonPrincipal and General Manager of Stat-Ease, Inc

About Mark J. Anderson

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. He offers a diverse array of experience in process development, quality assurance, marketing, purchasing, and general management. Mark is also the lead author of three books, [DOE Simplified: Practical Tools for Effective Experimentation, 3rd Edition], [RSM Simplified: Optimizing Processes Using Response Surface Methods for Design of Experiments, 2nd Edition], and [Formulation Simplified: Finding the Sweet Spot through Design and Analysis of Experiments with Mixtures] 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 (Chemical) Engineer (PE), #015059 MN
Certified Quality Engineer (CQE), #20446

Bachelor of Chemical Engineering, University of Minnesota, 1975, High Distinction
MBA, University of Minnesota, 1980, Beta Gamma Sigma (honorary academic society)

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