Academic
Publications
Design Of Experiments: Overview

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

Design Of Experiments: Overview   (Citations: 4)
BibTex | RIS | RefWorks Download
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
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
Sort by: