@techreport{277fbeadf29b4deea74dc1093f42aac1,
title = "Finding the Important Factors in Large Discrete-Event Simulation: Sequential Bifurcation and its Applications",
abstract = "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.",
keywords = "simulation, bifurcation, supply, Sweden",
author = "J.P.C. Kleijnen and B.W.M. Bettonvil and F. Persson",
note = "Pagination: 29",
year = "2003",
language = "English",
volume = "2003-104",
series = "CentER Discussion Paper",
publisher = "Operations research",
type = "WorkingPaper",
institution = "Operations research",
}