• DocumentCode
    2305848
  • Title

    Cellular manufacturing system scheduling under fuzzy constraints: A group technology perspective

  • Author

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

  • Author_Institution
    Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
  • fYear
    2010
  • fDate
    18-23 July 2010
  • Firstpage
    1
  • Lastpage
    8
  • Abstract
    In this article, we attempt to solve cellular manufacturing system (CMS) scheduling problem from group technology point of view. Since the operations of a job in a CMS can be performed on more than one machine within a cell, the scheduling problem of the CMS is always considered as a computationally hard problem. Two approaches called fuzzy logic and fuzzy MAX-MIN ant system are employed respectively. Under the consideration of multiple criteria, the performance of different manufacturing cells in a CMS is improved by means of proposed methodologies.
  • Keywords
    cellular manufacturing; fuzzy logic; job shop scheduling; CMS scheduling; cellular manufacturing system scheduling; computationally hard problem; fuzzy MAX-MIN ant system; fuzzy constraints; fuzzy logic; group technology perspective; Drilling; Fuzzy logic; Fuzzy sets; Indexes; Job shop scheduling; Manufacturing; Milling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems (FUZZ), 2010 IEEE International Conference on
  • Conference_Location
    Barcelona
  • ISSN
    1098-7584
  • Print_ISBN
    978-1-4244-6919-2
  • Type

    conf

  • DOI
    10.1109/FUZZY.2010.5584234
  • Filename
    5584234