Many simulation practitioners can get more from their analyses by using the statistical theory
on design of experiments (DOE) developed specifically for exploring computer models. We …

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 …

Simulation sensitivity analysis is an issue faced by simulation practitioners analyzing
complex systems. This paper presents steady-state simulation expected response gradient …

In this paper we review frequency domain experiments (FDE) for simulation sensitivity
analysis and contrast it with conventional methodology. With very few runs of the model …

This paper presents an examination of certain issues in Frequency Domain Experimentation
(FDE) for discrete event simulation. Experimental results are presented to demonstrate that …

Proceedings of the 1989 Winter Simulation Conference Page 1 Proceedings of the 1989
Winter Simulation Conference EA MacNair, KJ Musselman, P. Heidelberger (eds.) …