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Inside simulation software: inside discrete-event simulation software: how it works and why it matters
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Source Winter Simulation Conference archive
Proceedings of the 33nd conference on Winter simulation table of contents
Arlington, Virginia
TUTORIAL SESSION: Advanced tutorials table of contents
Pages: 158 - 168  
Year of Publication: 2001
ISBN:0-7803-7309-X
Authors
Thomas J. Schriber  The University of Michigan, Ann Arbor, MI
Daniel T. Brunner  Systemflow Simulations, Inc., Indianapolis, IN
Sponsors
INFORMS/CS : Institute for Operations Research and the Management Sciences/College on Simulation
IEEE/SMCS : Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST : National Institute of Standards and Technology
ACM: Association for Computing Machinery
SCS : The Society for Computer Simulation International
SIGSIM: ACM Special Interest Group on Simulation and Modeling
IIE : Institute of Industrial Engineers
IEEE/CS : Institute of Electrical and Electronics Engineers/Computer Society
ASA : American Statistical Association
Publisher
IEEE Computer Society  Washington, DC, USA
Bibliometrics
Downloads (6 Weeks): 1,   Downloads (12 Months): 15,   Citation Count: 2
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ABSTRACT

This paper provides simulation practitioners and consumers with a grounding in how discrete-event simulation software Works. Topics include discrete-event systems; entities, resources, control elements and operations; simulation runs; entity states; entity lists; and entity-list management. The implementation of these genetic ideas in AutoMod, SLX, and Extend is described. The paper concludes with several examples of "why it matters" for modelers to know how their simulation software works, including coverage of SIMAN (Arena), ProModel, and GPSS/H as well as the other three tools.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Schriber, T. J. and D. T. Brunner. 1998. How Discrete-Event Simulation Software Works. Chapter 24 in Handbook of Simulation: Principles, Methodology, Advances, Applications, and Practice, ed. J. Banks. New York, New York: John Wiley & Sons.
 
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Swain, J. J. 2001. Power tools for visualization and decision making: 2001 simulation software survey. OR/MS Today 28(1): 52-63. Baltimore, Maryland: Institute for Operations Research and Management Science.


Collaborative Colleagues:
Thomas J. Schriber: colleagues
Daniel T. Brunner: colleagues

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