• DocumentCode
    3048002
  • Title

    Prospection of Methods to Support Design and Configuration of Self-Organizing Mechatronic Systems

  • Author

    Neves, Pedro ; Ferreira, J. A. ; Onori, Mauro ; Ribeiro, Luis ; Barata, Jose

  • Author_Institution
    Ind. Production Dept., KTH The R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2013
  • fDate
    13-16 Oct. 2013
  • Firstpage
    3854
  • Lastpage
    3861
  • Abstract
    There is a substantial difference between traditional industrial systems and systems resultant from emerging production paradigms in terms of both conceptualization and implementation. Backwards compatibility is fundamental in assessing the potential transitional period whereby legacy technology will operate under the conceptual framework of modern approaches. However, before this point can be reached it is necessary to further investigate, assess and quantify the behavior of modern approaches that increasingly rely in self-organization. This article´s goal is to give an overview of the behavioral assessment problematic, in the context of self-organizing mechatronic systems, and provide a discussion on opportunities to explore rule-extraction techniques to better understand the influence of design and configuration on the overall system behavior. Although the discussion widely applies to almost all emerging production paradigms the Evolvable Production System paradigm is used as case to bring context and clarity to the discussion.
  • Keywords
    design engineering; knowledge based systems; mechatronics; production engineering computing; self-adjusting systems; behavioral assessment problematic; design; evolvable production system; legacy technology; rule extraction techniques; self organizing mechatronic systems; Assembly; Computer architecture; Context; Mechatronics; Production systems; Robustness; evolvable production systems; rule-extraction; self-organising mechatronic systems; system design;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2013 IEEE International Conference on
  • Conference_Location
    Manchester
  • Type

    conf

  • DOI
    10.1109/SMC.2013.658
  • Filename
    6722411