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 …

Simulation models often have many input factors, and determining which ones have a
significant impact on performance measures (responses) of interest can be a difficult task …

Decades ago, simulation was famously characterized as a “method of last resort,” to which
analysts should turn only “when all else fails.” In those intervening decades, the …

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 …

We present a new method for constructing nearly orthogonal Latin hypercubes that greatly
expands their availability to experimenters. Latin hypercube designs have proven useful for …

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 …

Designed experiments are powerful ways to gain insights into the behavior of complex
simulation models. In recent years, many new designs have been created to address the …

This article provides a comprehensive and in-depth overview of our work on knowledge
discovery in simulations. Application-wise, we focus on manufacturing simulations …

The term 'big data'has become intertwined with 'data mining'in the minds of many people.
Modern computing can generate massive amounts of data via simulation studies, but a key …