• DocumentCode
    2830552
  • Title

    Knowledge-Intensive Process Modelling in Engineering Design

  • Author

    Mayer, Wolfgang ; Muhlenfeld, A. ; Stumptner, Markus

  • Author_Institution
    Adv. Comput. Res. Centre, South Australia Univ., Adelaide, SA
  • fYear
    2008
  • fDate
    1-5 Sept. 2008
  • Firstpage
    90
  • Lastpage
    94
  • Abstract
    While design processes in certain domains have shifted towards early adoption of simulation and virtualization techniques, processes monitoring and reuse is not well-integrated into current development practices. We introduce a framework to integrate Multidisciplinary design optimisation processes using ontological engineering, where artefact and simulation models are exploited to yield more effective optimisation-driven development. We show how meta-modelling techniques can overcome representational and semantic differences between analysis disciplines and execution environments.
  • Keywords
    CAD; digital simulation; engineering computing; ontologies (artificial intelligence); optimisation; engineering design; knowledge-intensive process modelling; meta-modelling techniques; multidisciplinary design optimisation process; ontological engineering; optimisation-driven development; process monitoring; process reuse; simulation techniques; virtualization techniques; Automotive engineering; Computational modeling; Design engineering; Design optimization; Engineering management; Information analysis; Knowledge engineering; Manufacturing processes; Ontologies; Process design; Ontologies; Process Modelling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
  • Conference_Location
    Turin
  • ISSN
    1529-4188
  • Print_ISBN
    978-0-7695-3299-8
  • Type

    conf

  • DOI
    10.1109/DEXA.2008.130
  • Filename
    4624697