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Organization of the modeling and simulation of the discrete processes

  • Emma Kushtina
  • Alexandre Dolgui
  • Bartlomiej Malachowski

Abstract

In this article a methodology of queuing systems simulation models development is presented. A proper definition of simulation experiment specifications is difficult due to variety of conceptual models (ontologies) used to formulate a preliminary assumptions of a task. The proposed methodology is based on modeling using analytical methods and next, thanks to mapping principals, on translating notions from analytical model to simulation one.

Keywords

queuing systems simulation modeling conceptual model ontology taxonomy fundamental and procedural knowledge 

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6 References

  1. [1]
    Kushtina E., Rozewski P. (2003), “An approach to the formation of the formal description of the domain theoretical knowledge”, In: Studziński J., Drelichowski L., Hryniewicz O. (Eds.), “Applications of the Computer Sciences and Operational Research in the Management”. Operational Research Institute of The Polish Academy of Science, Vol. 33, pp. 29–402.Google Scholar
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    “Mathematics Subject Classification”, http://www.ams.org/msc/index.htmlGoogle Scholar
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    Zaikin O. (2002), “Queuing Modelling of Supply Chain in Intelligent Production”, Faculty of Computer Science and Information Systems — Technical University of Szczecin.Google Scholar
  4. [4]
    Kleinrock L. (1976), “Queueing Systems”, John Wiley & Sons, New York.Google Scholar

Copyright information

© Springer Science+Business Media, Inc. 2005

Authors and Affiliations

  • Emma Kushtina
    • 1
  • Alexandre Dolgui
    • 2
  • Bartlomiej Malachowski
    • 1
  1. 1.Technical University of SzczecinSzczecin
  2. 2.Ecole Nationale Supérieure des Mines de Saint-EtienneSaint-Etienne

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