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 through a first-order polynomial possibly augmented with two-factor interactions.The method is explained and illustrated through three related discrete-event simulation models.These models represent three supply chain configurations, studied for an Ericsson factory in Sweden.After simulating 21 scenarios (factor combinations) each replicated five times to account for noise a shortlist with the 11 most important factors is identified for the biggest of the three simulation models.
|Place of Publication||Tilburg|
|Number of pages||29|
|Publication status||Published - 2003|
|Name||CentER Discussion Paper|
Kleijnen, J. P. C., Bettonvil, B. W. M., & Persson, F. (2003). Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications. (CentER Discussion Paper; Vol. 2003-104). Operations research.