• DocumentCode
    3273718
  • Title

    Initialization of simulation models using CMSD

  • Author

    Bergmann, Sören ; Stelzer, Sören ; Strassburger, Steffen

  • Author_Institution
    Ilmenau Univ. of Technol., Ilmenau, Germany
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    2223
  • Lastpage
    2234
  • Abstract
    In the context of online- and symbiotic simulation, the precise initialization of simulation models based on the state of the physical system is a fundamental requirement. In these simulations, the simulation model typically serves as an operational decision support tool. Obviously, it can therefore not start empty and idle. The accurate capturing of initial conditions is fundamental for the quality of the model based predictions. In literature, it is only generally stated that the simulation model must maintain a close connection with the physical system. Our work systematically investigates which data from the physical system is needed for initialization, how it shall be transferred into the simulation model in a standardized way, and which potential problems must be solved in the simulation system to adequately initialize its model elements. We present a solution based on the core manufacturing simulation data (CMSD) standard, suggest necessary extensions and demonstrate a prototypical implementation.
  • Keywords
    decision support systems; discrete event simulation; manufacturing systems; production engineering computing; CMSD standard; core manufacturing simulation data; model based prediction; online-simulation context; operational decision support tool; simulation model; simulation model initialization; symbiotic simulation context; Adaptation models; Biological system modeling; Data models; Load modeling; Manufacturing; Predictive models; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147934
  • Filename
    6147934