Tips And Tricks For Using Simulation Doe To Assess The Complex Interactions Of Your Process

When studying a complex process, a design of experiments (DOE) using discrete-event simulation, is a powerful tool to determine key factors and results. A DOE is a road map for data generation and analysis that is methodical, efficient, and meaningful. This presentation highlights two manufacturing simulation case studies with emphasis on the process for creating and assessing the DOEs. DOE evolution is discussed, as well as the difference between a DOE and a DOE model. Tips and tricks for setup, visualization, and graphing are also highlighted.