• DocumentCode
    468893
  • Title

    Work smarter, not harder: Guidelines for designing simulation experiments

  • Author

    Sanchez, Susan M.

  • Author_Institution
    Graduate Sch. of Bus. & Public Policy, Monterey
  • fYear
    2007
  • fDate
    9-12 Dec. 2007
  • Firstpage
    84
  • Lastpage
    94
  • 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.
  • Keywords
    design of experiments; simulation; sampling factor; simulation experimental design; Analytical models; Buildings; Computational modeling; Design for experiments; Guidelines; Operations research; Public policy; Robustness; Sampling methods; US Department of Energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference, 2007 Winter
  • Conference_Location
    Washington, DC
  • Print_ISBN
    978-1-4244-1306-5
  • Electronic_ISBN
    978-1-4244-1306-5
  • Type

    conf

  • DOI
    10.1109/WSC.2007.4419591
  • Filename
    4419591