Work smarter, not harder: a tutorial on designing and conducting simulation experiments
Sanchez, Susan M.
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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, often with thousands of factors and many sources of uncertainty. To understand the impact of these factors and their interactions on model outcomes requires efficient, high-dimensional design of experiments. Unfortunately, all to often, many large-scale simulation models continue to be explored in ad hoc ways. This suggests that more simulation researchers and practitioners need to be aware of the power of experimental design in order to get the most from their simulation studies. In this tutorial, we demonstrate the basic concepts important for design and conducting simulation experiments, and provide references to other resources for those wishing to learn more. This tutorial (an update of previous WSC tutorials) will prepare you to make your next simulation study a simulation experiment.
This is an update of previous tutorials, most recently Sanchez and Wan (2011).
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Nagashima, M.; Agrawal, B.N. (2012);For a large Adaptive Optics (AO) system such as a large Segmented Mirror Telescope (SMT), it is often difficult, although not impossible, to directly apply common Multi-Input Multi-Output (MIMO) controller design methods ...
Kleijnen, Jack P.C.; Cioppa, Thomas M.; Sanchez, Susan M.; Lucas, Thomas W. (2005);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. In this paper, we discuss a toolkit of ...
Simulation screening experiments using lasso-optimal supersaturated design and analysis: a maritime operations application Xing, Dadi; Wan, Hong; Zhu, Michael Yu; Sanchez, Susan M.; Kaymal, Turgut (2013);Screening methods are beneficial for studies involving simulations that have a large number of variables where a relatively small (but unknown) subset is important. In this paper, we show how a newly proposed Lasso-optimal ...