Optimizing D-Optimal Designs in Cornerstone
Handle categorical factors, constraints, forced runs, and more. Discover how Cornerstone’s enhanced algorithm boosts your design’s efficiency.
Design of Experiments (DoE) in Automotive Industry Focusing on Design Augmentation
This document gives an overview of the workflow when doing a designed experiment with Cornerstone. The focus is a situation where a considerable number of runs already have been made and they have to be included in a final design that gives a wide enough picture.
