• DocumentCode
    597353
  • Title

    Supply chain dynamics in the SCOR model — A simulation modeling approach

  • Author

    Persson, Fredrik ; Bartoll, C. ; Ganovic, A. ; Lidberg, M. ; Nilsson, Martin ; Wibaeus, J. ; Winge, F.

  • Author_Institution
    Dept. of Sci. & Technol., Linkoping Univ., Norrkoping, Sweden
  • fYear
    2012
  • fDate
    9-12 Dec. 2012
  • Firstpage
    1
  • Lastpage
    12
  • Abstract
    Supply Chain Simulation (SCS) is today a well-defined branch of discrete-event simulation applications. The differences between different applications are usually small, but in the case of SCS, models tend to be larger, take longer time to build and are harder to validate. To remedy some of these issues in SCS, we propose to use the SCOR model (Supply Chain Operations Reference Model) as a tool to speed up the simulation modeling of supply chains. The SCOR model can be useful in the conceptual phase, the modeling phase, and in the experimental phase of a simulation project. In SCOR Template, a modeling template in Arena, all level 3 processes of Source, Make, and Deliver are modeled to provide the SCS model builder a tool that is fast, follows the SCOR standards in processes and metrics, and simple to use. Here we report on the third version of the SCOR Template.
  • Keywords
    discrete event simulation; production engineering computing; supply chain management; Arena; Deliver process; Make process; SCOR model; SCOR standards; SCOR template; SCS model builder; Source process; conceptual phase; discrete event simulation application; experimental phase; level 3 processes; modeling phase; simulation modeling approach; simulation project; supply chain dynamics; supply chain operations reference model; supply chain simulation; Analytical models; Benchmark testing; Buildings; Companies; Measurement; Software; Supply chains;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2012 Winter
  • Conference_Location
    Berlin
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4673-4779-2
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2012.6465030
  • Filename
    6465030