This course explores how experimental design can be applied for product and process optimization of a response variable such as yield, performance, cycle time, or cost reduction. Participants practice these methods by designing, running, and analyzing a series of experiments via unique computer simulations, providing an experience as close as possible to actually running industrial experiments. A final course project lets teams compete to determine which team can find the best optimal solution. Training is designed for engineers, quality professionals, researchers, and managers who need to understand and use DOE for process optimization, and is available onsite at your organization or virtually. (Basic DOE or the equivalent prerequisite)
