Many simulation practitioners can get more from their analyses by using the statistical theory on design of experiments ….Furthermore, we provide a research agenda listing problems in the design of simulation experiments -as opposed to real world … of a particular simulation model or system; (2) finding robust decisions or policies; and (3) comparing the merits of …

and a simulation study.The simulation study shows that due to order sharing transportation costs may decrease by 5 to 15 …

. We formulate this intrinsic Kriging as a metamodel in deterministic and random simulation models. For random simulation …

This expository paper discusses the relationships among metamodels, simulation models, and problem entities. A … metamodel or response surface is an approximation of the input/output function implied by the underlying simulation model. There …

Whenever simulation requires much computer time, interpolation is needed. There are several interpolation techniques in … geostatistics by D.G.Krige, and has recently been widely applied in deterministic simulation.This paper, however, focuses on random … or stochastic simulation.Essentially, Kriging gives more weight to 'neighbouring' observations.There are several types of …

This paper proposes a novel method to select an experimental design for interpolation in random simulation.(Though the ….)Assuming that simulation requires much computer time, it is important to select a design with a small number of observations (or … simulation runs).The proposed method is therefore sequential.Its novelty is that it accounts for the specific input …

This paper proposes a novel method to select an experimental design for interpolation in simulation.Though the paper … focuses on Kriging in deterministic simulation, the method also applies to other types of metamodels (besides Kriging), and to … stochastic simulation.The paper focuses on simulations that require much computer time, so it is important to select a design …