An important goal of simulation is optimization of the corresponding real system. We focus on simulation models with multiple responses (out-puts), selecting one response as the variable to be maximized or minimized while the remaining responses satisfy prespecified thresholds; i.e., we focus on...

This paper proves that it is wrong to require that regressing a model's outputs on the observed real outcomes give a 45 line through the origin (unit slope, zero intercept). Therefore this paper proposes an alter-native requirement: the responses of the model and the real system should have the...

This paper proposes a novel method to select an experimental design for interpolation in random simulation. (Though the paper focuses on Kriging, this method may also apply to other types of metamodels such as linear regression models). Assuming that simulation requires much computer time, it is...

By definition, computer simulation (or Monte Carlo) models are not solved by mathematical analysis (for example, differential calculus), but are used for numerical experimentation. These experiments are meant to answer questions of interest about the real world; i.e., the experimenters may use...