We describe a framework for analyzing simulation output in order to find solutions that will
work well after implementation. We show how the use of a loss function that incorporates …

Many companies are interested in implementing just-in-time (JIT) manufacturing
philosophies in response to increased competitive pressures on manufacturing. At the shop …

We illustrate how an efficient methodology called frequency domain experimentation can be
used to gain better insight into the behavior of production systems. With the full factorial …

Describes a framework for discrete event simulation which synthesizes Taguchi's (1986,
1987) robust design philosophy and a response surface metamodeling approach. We show …

Frequency‐based designs are presented for exploring large numbers of factors in simulation
experiments. This approach yields completely orthogonal full second‐order space‐filling …

Frequency domain experiments (FDEs) were introduced to perform system sensitivity
analysis for factor screening in complex simulations. Since then, FDEs have been used in …

This paper develops a metamodel approach to approximate the transient relationship
between a univariate output response and one or more continuous-valued input factors in a …

Steady-state simulation runs typically contain an initial transient phase that biases output
performance measure estimators, unless the simulation observations at the beginning of the …

Frequency domain experiments are efficient screening procedures for identifying important
factors in simulation models. An empirical investigation involving a simple autoregressive …