• DocumentCode
    3416770
  • Title

    Application of artificial intelligence (AI) methods for designing and analysis of reconfigurable cellular manufacturing system (RCMS)

  • Author

    Xing, Bo ; Nelwamondo, Fulufhelo V. ; Battle, Kimberly ; Gao, Wenjing ; Marwala, Tshilidzi

  • Author_Institution
    Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
  • fYear
    2009
  • fDate
    14-16 Jan. 2009
  • Firstpage
    402
  • Lastpage
    409
  • Abstract
    This work focuses on the design and control of a novel hybrid manufacturing system: reconfigurable cellular manufacturing system (RCMS) by using artificial intelligence (AI) approach. It is hybrid as it combines the advantages of cellular manufacturing system (CMS) and reconfigurable manufacturing system (RMS). In addition to inheriting desirable properties from CMS and RMS, RCMS provides additional benefits including flexibility and the ability to respond to changing products, product mix and market conditions during its useful life, avoiding premature obsolescence of the manufacturing system. The emphasis of this research is the formation of reconfigurable manufacturing cell (RMC) which is the dynamic and logical clustering of some manufacturing resources, driven by specific customer orders, aiming at optimally fulfilling customers´ orders along with other RMCs in the RCMS.
  • Keywords
    artificial intelligence; cellular manufacturing; pattern clustering; production engineering computing; artificial intelligence method; cellular manufacturing system; dynamic clustering; logical clustering; reconfigurable manufacturing system; Artificial intelligence; Cellular manufacturing; Collision mitigation; Design methodology; Machinery production industries; Manufacturing industries; Manufacturing systems; Mass production; Productivity; Virtual manufacturing; AI; ANN; RCMS; RMC;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Adaptive Science & Technology, 2009. ICAST 2009. 2nd International Conference on
  • Conference_Location
    Accra
  • ISSN
    0855-8906
  • Print_ISBN
    978-1-4244-3522-7
  • Electronic_ISBN
    0855-8906
  • Type

    conf

  • DOI
    10.1109/ICASTECH.2009.5409694
  • Filename
    5409694