The growing power of computers enabled techniques created for design and analysis of
simulations to be applied to a large spectrum of problems and to reach high level of …

Simulation models are integral to modern scientific research, national defense, industry and
manufacturing, and in public policy debates. These models tend to be extremely complex …

In simulations, probabilistic algorithms, and statistical tests, we often generate random
integers in an interval (eg,[0, s)). For example, random integers in an interval are essential to …

Designed experiments are powerful methodologies for gaining insights into the behaviour of
complex simulation models. In recent years, many new designs have been created to …

Data mining tools have been around for several decades, but the term “big data” has only
recently captured widespread attention. Numerous success stories have been promulgated …

This paper presents new Latin hypercube designs with minimal correlations between all
main, quadratic, and two-way interaction effects for a full second-order model. These new …

Recent advances in high-performance computing have pushed computational capabilities to
a petaflop (a thousand trillion operations per second) in a single computing cluster. This …

Computer experimentation is integral to modern scientific research, national defense,
industry and manufacturing, and in public policy debates. Traditional design of experiments …

Data farming is a descriptive metaphor that captures the notion of generating data
purposefully to maximize the information “yield” from simulation models. Large-scale …

Discrete event simulation studies in a manufacturing context are a powerful instrument when
modeling and evaluating processes of various industries. Usually simulation experts …