• DocumentCode
    1816421
  • Title

    Simulation for the masses: Spreadsheet-based Monte Carlo simulation

  • Author

    Schriber, Thomas J.

  • Author_Institution
    Bus. Inf. Technol., Univ. of Michigan, Ann Arbor, MI, USA
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    1
  • Lastpage
    11
  • Abstract
    Spreadsheet-based Monte Carlo simulation has come into relatively widespread use as a methodology supporting studies in risk analysis for a broad range of problem types in areas such as operations management, finance, and marketing. The basic methodology is quite easily assimilated by those familiar with the fundamentals of probability, statistics, and sampling, and the practical applications of the methodology are compelling. Practitioners of discrete-event simulation can master spreadsheet-based simulation especially easily, and can expand their skill set importantly by doing so. This paper provides suggestive examples for the use of spreadsheet-based simulation and briefly explores the underlying methodology, mentioning the relevant native Excel tools and reviewing elements of one of the commercial Excel add-ins available to support use of the methodology. The presentation itself will include demonstration and discussion of the dynamics of spreadsheet-based Monte Carlo simulation.
  • Keywords
    Monte Carlo methods; discrete event simulation; spreadsheet programs; Excel add-ins; Excel tool; discrete-event simulation; finance; marketing; operations management; probability; risk analysis; sampling; skill set; spreadsheet-based Monte Carlo simulation; statistics; Analytical models; Business; Calendars; Discrete event simulation; Finance; Information technology; Insurance; Medical simulation; Remuneration; Risk analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2009 Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-5770-0
  • Type

    conf

  • DOI
    10.1109/WSC.2009.5429310
  • Filename
    5429310