Advanced Design of Experiments and Gage R&R
In this second course on design of experiments, learn to optimize the settings of operational variables using the Central Composite and Box-Behnken designs to develop higher order response models. Determine the run replication and repeat sampling plan to improve power and decrease error variation. Compare Plackett-Burman, Definitive Screening and Fractional Factorial screening designs to find your best approach to reduce a long list of input variables to the vital few. Finally, design and analyze a Gage R&R study for any non-standard conditions such as gage comparisons, destructive tests, round-robin and multivariate experiments. As we finalize your mastery of DOE, you’ll be doing not watching, recreating and analyzing experiments from the University of California, Stryker, Arconic, American Minerals , Ethicon, DuPont, Lonza Biotechnology, Caterpillar, Synflex American and more.