• DocumentCode
    1596469
  • Title

    Swarm intelligence in cellular manufacturing: application of hybrid ant system to manufacturing cell machine layout problem

  • Author

    Xing, Bo ; Gao, Wen-Jing ; Nelwamond, Fulufhelo V. ; Battle, Kimberly ; Marwala, Tshilidzi

  • Author_Institution
    Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
  • fYear
    2010
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This paper analyzes the intra-cell machine re-layout (ICMRL) problem in the context of cellular manufacturing (CM). The proposed method for ICMRL has two phases. First phase consists of a general cell formation procedure in which the initial machine layout is obtained. In the second phase, we formulate ICMRL as a quadratic assignment problem model. Then an ant inspired swarm intelligence approach is used to develop a set of better solution. Since the automated guided vehicles (AGVs) are commonly used to transport materials between manufacturing cells, the impact of their guide path characteristics on the final machine layout plan is also considered to find an optimal solution.
  • Keywords
    artificial intelligence; cellular manufacturing; design for manufacture; facilities layout; facility location; quadratic programming; ant inspired swarm intelligence; automated guided vehicles; cellular manufacturing; hybrid ant system; intra-cell machine relayout problem; quadratic assignment problem model; Bridges; Milling; Turning; Vehicles; Welding; Automated Guided Vehicle; Cellular Manufacturing; Hybrid Ant System; Intra-Cell Machine Re-Layout; Quadratic Assignment Problem; Swarm Intelligence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    World Automation Congress (WAC), 2010
  • Conference_Location
    Kobe
  • ISSN
    2154-4824
  • Print_ISBN
    978-1-4244-9673-0
  • Electronic_ISBN
    2154-4824
  • Type

    conf

  • Filename
    5665687