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
Link To Document :
بازگشت