Design of Experiments for Process Improvement

This experimental design (DOE) course demonstrates how to optimize process and product performance. Master the 5 design characteristics that make factorial experimentation more efficient and successful than any other approach. Apply the 7 step method to execute the sampling plan to determine cause and effect relationships in your process. Discover main and interaction effects, quantify them, then leverage the experimental results to model the input-output relationships. Use data visualization graphics and numerical response optimization methods to achieve optimal performance. In this 4th course to becoming a Certified Industrial Data Analyst, you’ll be doing not watching, as we analyze experiments from Tarkett Flooring, Valspar, Corning, Inc., Merck, Ethicon, Sigma Millipore, Dow Chemical and more.

Upcoming Design of Experiments for Process Improvement Classes

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