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 …

This survey paper starts with a critical analysis of various performance metrics for supply
chain management (SCM), used by a specific manufacturing company. Then it summarizes …

This contribution summarizes the design and analysis of experiments with computerized
simulation models. It focuses on two metamodel (surrogate, emulator) types, namely first …

This paper proposes a new method that extends the efficient global optimization to address
stochastic black-box systems. The method is based on a kriging meta-model that provides a …

PROCESS OPTIMIZATION: A Statistical Approach is a textbook for a course in experimental
optimization techniques for industrial production processes and other" noisy" systems where …

Sensitivity analysis may serve validation, optimization, and risk analysis of simulation
models. This review surveysclassic'andmodern'designs for experiments with simulation …

This paper proposes a novel method to select an experimental design for interpolation in
simulation. Although the paper focuses on Kriging in deterministic simulation, the method …

This article summarizes 'generalized response surface methodology'(GRSM), extending Box
and Wilson's 'response surface methodology'(RSM). GRSM allows multiple random …

This chapter first summarizes Response Surface Methodology (RSM), which started with
Box and Wilson's 1951 article on RSM for real, non-simulated systems. RSM is a stepwise …

This article presents a novel heuristic for constrained optimization of computationally
expensive random simulation models. One output is selected as objective to be minimized …