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A visual aproach to enhance discrete-event simulation model interoperability

Published: 03 December 2006 Publication History

Abstract

With the continued advance of discrete-event simulation technology, various software packages have evolved that greatly facilitate the development and analysis of discrete-event simulation models. However, each of these applications uses different approaches and terminology for representing the behavior of the systems being studied. As a result of this disparity in implementations, models developed in different applications cannot interact with other models. Also, the disparity makes it more difficult for humans to understand the models. In this work, a visual modeling approach is proposed that allows the modeler, and those not expert in simulation, to create conceptual models that are independent of the implementation application. The approach uses eight common simulation elements. This approach facilitates the model interactions at the model formulation stage and at the application stage.

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Published In

cover image ACM Conferences
WSC '06: Proceedings of the 38th conference on Winter simulation
December 2006
2429 pages
ISBN:1424405017

Sponsors

  • IIE: Institute of Industrial Engineers
  • ASA: American Statistical Association
  • IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
  • IEEE-CS\DATC: The IEEE Computer 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
  • INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06
Sponsor:
  • IIE
  • ASA
  • IEICE ESS
  • IEEE-CS\DATC
  • SIGSIM
  • NIST
  • (SCS)
  • INFORMS-CS
WSC06: Winter Simulation Conference 2006
December 3 - 6, 2006
California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;
Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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