Work smarter, not harder: guidelines for designing simulation experiments Export

@inproceedings{citeulike:4509851, abstract = {We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. A well-designed experiment allows the analyst to examine many more factors than would otherwise be possible, while providing insights that cannot be gleaned from trial-and-error approaches or by sampling factors one at a time. We focus on experiments that can cut down the sampling requirements of some classic designs by orders of magnitude, yet make it possible and practical to develop a better understanding of a complex simulation model. Designs we have found particularly useful for simulation experiments are illustrated using simple simulation models, and we provide links to other resources for those wishing to learn more. Ideally, this tutorial will leave you excited about experimental designs---and prepared to use them---in your upcoming simulation studies.}, address = {Piscataway, NJ, USA}, author = {Sanchez, Susan M.}, booktitle = {WSC '07: Proceedings of the 39th conference on Winter simulation}, citeulike-article-id = {4509851}, citeulike-linkout-0 = {http://portal.acm.org/citation.cfm?id=1351542.1351562}, isbn = {1-4244-1306-0}, keywords = {2007, experiments, simulation}, location = {Washington D.C.}, pages = {84--94}, posted-at = {2009-05-13 12:23:54}, priority = {2}, publisher = {IEEE Press}, title = {Work smarter, not harder: guidelines for designing simulation experiments}, url = {http://portal.acm.org/citation.cfm?id=1351542.1351562}, year = {2007} }

TY - CONF ID - citeulike:4509851 L3 - citeulike-article-id:4509851 N2 - We present the basic concepts of experimental design, the types of goals it can address, and why it is such an important and useful tool for simulation. A well-designed experiment allows the analyst to examine many more factors than would otherwise be possible, while providing insights that cannot be gleaned from trial-and-error approaches or by sampling factors one at a time. We focus on experiments that can cut down the sampling requirements of some classic designs by orders of magnitude, yet make it possible and practical to develop a better understanding of a complex simulation model. Designs we have found particularly useful for simulation experiments are illustrated using simple simulation models, and we provide links to other resources for those wishing to learn more. Ideally, this tutorial will leave you excited about experimental designs---and prepared to use them---in your upcoming simulation studies. CY - Washington D.C. SN - 1-4244-1306-0 AD - Piscataway, NJ, USA EP - 94 TI - Work smarter, not harder: guidelines for designing simulation experiments PB - IEEE Press T2 - WSC '07: Proceedings of the 39th conference on Winter simulation SP - 84 KW - 2007 KW - experiments KW - simulation AU - Sanchez, Susan PY - 2007/// UR - http://portal.acm.org/citation.cfm?id=1351542.1351562 ER -