Abstract

This talk provides a briefing on statistical design of experiments (DOE) for rapid and effective screening, characterization and optimization of factors affecting manufacturing process efficiency, quality and reliability. Starting from the earliest statistical developments, it covers a broad range of DOE tools, including factorial design and response surface methods (RSM). Engineers tasked with manufacturing process improvement will benefit greatly by learning how to make the most from every experiment via these multifactor testing methods.

About Mark

Mark is an Engineering Consultant at Stat-Ease, Inc. Before joining the firm, he spearheaded an award-winning quality improvement program for an international manufacturer, generating millions of dollars in profit. He offers diverse experience in process development, quality assurance, marketing, purchasing, and general management. Mark is also the lead author of three books and has published numerous articles on the 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, and he teaches an annual course on DOE for the South Dakota Mines Department of Chemical and Biological Engineering.