Design Of Experiments: Overview

Design Of Experiments: Overview,10.1109/WSC.2008.4736103,Jack P. C. Kleijnen

Design Of Experiments: Overview   (Citations: 4)
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Design Of Experiments (DOE) is needed for experiments with real-life systems, and with either deterministic or ran- dom simulation models. This contribution discusses the different types of DOE for these three domains, but fo- cusses on random simulation. DOE may have two goals: sensitivity analysis and optimization. This contribution starts with classic DOE including 2k p and Central Composite Designs (CCDs). Next, it discusses factor screening through Sequential Bifurcation. Then it discusses Kriging includ- ing Latin Hypercube Sampling and sequential designs. It ends with optimization through Generalized Response Sur- face Methodology and Kriging combined with Mathematical Programming, including Taguchian robust optimization.
Conference: Winter Simulation Conference - WSC , pp. 479-488, 2008
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