This contribution discusses experiments with many factors: the case study includes a simulation model with 92 factors. The experiments are guided by sequential bifurcation. This method is most efficient and effective if the true input/output behavior of the simulation model can be approximated...

Textbooks on Design of Experiments invariably start by explaining why one-factor-at-a-time (OAT) is an inferior method. Here we will show that in a model with all interactions a variant of OAT is extremely efficient, provided that we only have non-negative parameters and that there are only a...