SAVE A LOT OF TIME, AND STILL GET THE BEST INFORMATION POSSIBLE

Understanding the behavior of your engineering simulation models is the first important step in setting up a deterministic or robust optimization project. Using Design of Experiments (DOE) early in the process, you can boost your productivity by planning your engineering simulations to deliver a maximum of relevant insights at minimum simulation cost

But when it comes to picking the right DOE strategy, things may become more complicated. Should I use a standard Min – Max approach, or should I choose a random strategy? Should I privilege space-filling techniques, at the risk of missing out on any non-linearities that may exist?