research-article

Introduction to modeling and generating probabilistic input processes for simulation

Authors:

Michael E. Kuhl,

Natalie M. Steiger,

Mary Ann Wagner,

James R. WilsonAuthors Info & Claims

WSC '08: Proceedings of the 40th Conference on Winter Simulation

Pages 48 - 61

Published: 07 December 2008 Publication History

Abstract

Techniques are presented for modeling and generating the univariate probabilistic input processes that drive many simulation experiments. Emphasis is on the generalized beta distribution family, the Johnson translation system of distributions, and the Bézier distribution family. Also discussed are nonparametric techniques for modeling and simulating time-dependent arrival streams using nonhomogeneous Poisson processes. Public-domain software implementations and current applications are presented for each input-modeling technique. Many of the references include live hyperlinks providing online access to the referenced material.

References

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Cited By

Cheng R(2017)History of input modelingProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242194(1-21)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242194
García-Alonso CArenas-Arroyo EPérez-Alcalá G(2012)A macro-economic model to forecast remittances based on Monte-Carlo simulation and artificial intelligenceExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.01.10839:9(7929-7937)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.eswa.2012.01.108
McClean SBarton MGarg LFullerton K(2011)A modeling framework that combines markov models and discrete-event simulation for stroke patient careACM Transactions on Modeling and Computer Simulation10.1145/2000494.200049821:4(1-26)Online publication date: 2-Sep-2011
https://dl.acm.org/doi/10.1145/2000494.2000498
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Published In

cover image ACM Conferences

WSC '08: Proceedings of the 40th Conference on Winter Simulation

December 2008

3189 pages

ISBN:9781424427086

Editors:
Scott Mason
University of Arkansas
,
Ray Hill
Air Force Institute of Technology
,
Lars Mönch
University of Hagen
,
Oliver Rose
University of Dresden
,
General Chair:
Thomas Jefferson
Intel Corporation
,
Program Chairs:
John W. Fowler
Arizona State University
,
Ricki G. Ingalls
Oklahoma State University

Sponsors

IIE: Institute of Industrial Engineers
INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
ASA: American Statistical Association
IEEE/SMC: Institute of Electrical and Electronics Engineers: Systems, Man, and Cybernetics Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International

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Winter Simulation Conference

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Published: 07 December 2008

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INFORMS-SIM
ASA
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WSC08: Winter Simulation Conference

December 7 - 10, 2008

Florida, Miami

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WSC '08 Paper Acceptance Rate 249 of 304 submissions, 82%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Cheng R(2017)History of input modelingProceedings of the 2017 Winter Simulation Conference10.5555/3242181.3242194(1-21)Online publication date: 3-Dec-2017
https://dl.acm.org/doi/10.5555/3242181.3242194
García-Alonso CArenas-Arroyo EPérez-Alcalá G(2012)A macro-economic model to forecast remittances based on Monte-Carlo simulation and artificial intelligenceExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.01.10839:9(7929-7937)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.eswa.2012.01.108
McClean SBarton MGarg LFullerton K(2011)A modeling framework that combines markov models and discrete-event simulation for stroke patient careACM Transactions on Modeling and Computer Simulation10.1145/2000494.200049821:4(1-26)Online publication date: 2-Sep-2011
https://dl.acm.org/doi/10.1145/2000494.2000498
Kelton WDunkin AIngalls R(2009)Representing and generating uncertainty effectivelyWinter Simulation Conference10.5555/1995456.1995466(40-44)Online publication date: 13-Dec-2009
https://dl.acm.org/doi/10.5555/1995456.1995466

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