Optimizing Processes Using Designed Experiments

Learn to use the six-step framework for creating a successful designed experiment to determine the relationship between the factors impacting a process and the optimal process output. See how to describe the goal, specify effects for an assumed model, generate a design, collect experimental run data, create and fit a model incorporating experimental data, and use factors to optimize and improve settings. See a 30-minute demo and stay on if you want to join 15-30 minutes of Topic Discussion and Q&A.

This session covers: definition of terms; using Custom Design tools to specify responses, factors and runs; understanding interactions; specifying models and model effects; evaluating models; and determining optimal factors for the process.