• DocumentCode
    2549480
  • Title

    Application of intelligent methods to automotive assembly planning

  • Author

    Rychtyckyj, Nestor ; Klampfl, Erica ; Gusikhin, Oleg ; Rossi, Giuseppe

  • Author_Institution
    Ford´´s Adv. & Manuf. Eng. Syst. Group, Montreal
  • fYear
    2007
  • fDate
    7-10 Oct. 2007
  • Firstpage
    2479
  • Lastpage
    2483
  • Abstract
    The automotive manufacturing process is one of the most complex processes in industry today. The rapid changes in the marketplace and introduction of new technologies require that the underlying manufacturing processes keep pace. The use of intelligent systems for this environment is quickly becoming a necessity. In this paper, we describe how some of these intelligent methods are used at Ford Motor Company in the automotive assembly planning domain. The following applications of intelligent systems will be described: knowledge-based labor management, ergonomics analysis, and workcell layout optimization. We will also discuss how natural language processing can assist in understanding unstructured textual data. All of these examples show how computational intelligence can be successfully applied in an industrial setting.
  • Keywords
    assembly planning; automobile manufacture; natural language processing; production engineering computing; Ford Motor Company; automotive assembly planning; automotive manufacturing process; ergonomics analysis; intelligent methods; knowledge-based labor management; natural language processing; workcell layout optimization; Assembly; Automotive engineering; Competitive intelligence; Computational intelligence; Ergonomics; Intelligent manufacturing systems; Intelligent vehicles; Knowledge management; Manufacturing industries; Manufacturing processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2007. ISIC. IEEE International Conference on
  • Conference_Location
    Montreal, Que.
  • Print_ISBN
    978-1-4244-0990-7
  • Electronic_ISBN
    978-1-4244-0991-4
  • Type

    conf

  • DOI
    10.1109/ICSMC.2007.4414163
  • Filename
    4414163