• DocumentCode
    1951308
  • Title

    PPRS: Production skills and their relation to product, process, and resource

  • Author

    Pfrommer, Julius ; Schleipen, Miriam ; Beyerer, Jurgen

  • Author_Institution
    Fraunhofer Inst. of Optronics, Syst. Technol. & Image Exploitation (IOSB), Karlsruhe, Germany
  • fYear
    2013
  • fDate
    10-13 Sept. 2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    To model increasingly adaptive production systems, skills are used to describe generic capabilities of the system components. In this paper, the authors extend the well-known division of production entities into product, process, and resource (PPR) with a skill definition. There are two main advantages for this approach: First, using PPR for the skill definition allows easy integration into existing models and tools. Second, there is a natural tendency to define very generic skills to capture all possible use cases. But at some point, skills have to be translated into precise instructions for execution. The model makes this dichotomy explicit and provides a common taxonomy for stakeholders concerned with skills on different abstraction levels.
  • Keywords
    knowledge based systems; production engineering computing; production management; PPRS; adaptive production systems; production entities; production skills; skill definition; Assembly; Planning; Production systems; Robots; Wires;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Emerging Technologies & Factory Automation (ETFA), 2013 IEEE 18th Conference on
  • Conference_Location
    Cagliari
  • ISSN
    1946-0740
  • Print_ISBN
    978-1-4799-0862-2
  • Type

    conf

  • DOI
    10.1109/ETFA.2013.6648114
  • Filename
    6648114