• DocumentCode
    1825146
  • Title

    Input Data Management methodology for Discrete Event Simulation

  • Author

    Bengtsson, Nils ; Shao, Guodong ; Johansson, Björn ; Lee, Y. Tina ; Leong, Swee ; Skoogh, Anders ; Mclean, Charles

  • Author_Institution
    Production Modeling Corp., Gothenburg, Sweden
  • fYear
    2009
  • fDate
    13-16 Dec. 2009
  • Firstpage
    1335
  • Lastpage
    1344
  • Abstract
    Input Data Management (IDM) is a time consuming and costly process for Discrete Event Simulation (DES) projects. In this paper, a methodology for IDM in DES projects is described. The approach is to use a methodology to identify and collect data, then use an IDM software to extract and process the data. The IDM software will structure and present the data in Core Manufacturing Simulation Data (CMSD) format, which is aimed to be a standard data format for any DES software. The IDM methodology was previously developed and tested by Chalmers University of Technology in a case study in the automotive industry. This paper presents a second test implementation in a project at the National Institute of Standards and Technology (NIST) in collaboration with an aerospace industry partner.
  • Keywords
    data handling; discrete event simulation; project management; DES projects; DES software; IDM software; aerospace industry; core manufacturing simulation data format; data collection; discrete event simulation; input data management methodology; Aerospace testing; Automotive engineering; Collaboration; Data mining; Discrete event simulation; Manufacturing industries; NIST; Project management; Software standards; Virtual manufacturing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2009 Winter
  • Conference_Location
    Austin, TX
  • Print_ISBN
    978-1-4244-5770-0
  • Type

    conf

  • DOI
    10.1109/WSC.2009.5429651
  • Filename
    5429651