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 …

Simulation models allow the user to understand system performance and assist in behavior
prediction, to support system diagnostics and design. Iterative optimization methods are …

The use of statistical techniques to build approximations of expensive computer analysis
codes pervades much of today's engineering design. These statistical approximations, or …

For several decades, simulation has been used as a descriptive tool by the operations
research community in the modeling and analysis of a wide variety of complex real systems …

This chapter gives a survey on the use of statistical designs for what-if analysis in simula-
tion, including sensitivity analysis, optimization, and validation/verification. Sensitivity …

Perhaps the most prevalent use of statistics in engineering design is through Taguchi's
parameter and robust design—using orthogonal arrays to compute signal-to-noise ratios in …

The simulation community has used metarnodels to study the behavior of computer
simulations for over twenty-five years. The most popular teebniques have been based on …

The literature on robust design has focused chiefly on the development of methods for
identifying robust design solutions. In this paper we present a literature review of conflicts …

In this thesis, the idea of robust design optimization is adopted to improve the quality of a
product or process by minimizing the deteriorating effects of variable or not exactly …

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 …