• DocumentCode
    2063022
  • Title

    A simulation based analysis of production scheduling in a steelmaking and continuous casting plant

  • Author

    Fanti, Maria Pia ; Iacobellis, Giorgio ; Rotunno, Giuliana ; Ukovich, Walter

  • Author_Institution
    Dept. of Electr. & Inf. Eng., Polytech. of Bari, Bari, Italy
  • fYear
    2013
  • fDate
    17-20 Aug. 2013
  • Firstpage
    150
  • Lastpage
    155
  • Abstract
    This paper focuses on the modeling and analysis of complex production systems such as Steelmaking Continuous Casting (SM-CC) plants. To this aim, the discrete event simulation is employed to verify the dynamics and the performance of the SM-CC systems. First, the manufacturing system activities are described in detail by the Unified Modeling Language (UML). Then, the UML activity diagrams are translated in a discrete event simulation model. Hence, a real system involving a SM-CC plant located in Italy is considered and analyzed. Some simulation results show that the proposed modeling and analysis approach can be effectively used to improve and assess the performance of the system.
  • Keywords
    Unified Modeling Language; casting; discrete event simulation; industrial plants; manufacturing systems; production engineering computing; scheduling; steel industry; steel manufacture; Italy; SM-CC plant; SM-CC system dynamics verification; SM-CC system performance verification; UML activity diagrams; Unified Modeling Language; complex production system analysis; complex production system modeling; discrete event simulation model; manufacturing system activities; simulation-based production scheduling analysis; steelmaking-continuous casting plants; system performance assessment; system performance improvement; Analytical models; Casting; Furnaces; Solid modeling; Steel; Unified modeling language;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Automation Science and Engineering (CASE), 2013 IEEE International Conference on
  • Conference_Location
    Madison, WI
  • ISSN
    2161-8070
  • Type

    conf

  • DOI
    10.1109/CoASE.2013.6654020
  • Filename
    6654020