• DocumentCode
    3526066
  • Title

    Balancing of mixed-model assembly line based on ant colony optimization algorithm

  • Author

    Zhang, Ye ; Tao, Long-feng ; Ju, Fan

  • Author_Institution
    Sch. of Mech. & Automotive Eng., Hefei Univ. of Technol., Hefei, China
  • Volume
    Part 2
  • fYear
    2011
  • fDate
    3-5 Sept. 2011
  • Firstpage
    898
  • Lastpage
    901
  • Abstract
    The mixed-model assembly line balancing problem is a typical NP-Hard combinatorial optimization problem. In this article, the mixed-model assembly line balancing problem is turned into a single-model assembly line balancing problem by the prior sequence diagram. Firstly, mathematical modeling is set up with the given takt time, the least number of workstations and the highest assembly line balancing rate as optimization objective. Then an ant colony optimization algorithm is designed for solving such a mixed-model assembly line balancing problem. A VB program is developed and the effectiveness of the algorithm is proved through a number of specific examples.
  • Keywords
    assembling; computational complexity; optimisation; NP-hard combinatorial optimization problem; VB program; ant colony optimization algorithm; mathematical modeling; mixed-model assembly line balancing problem; sequence diagram; single-model assembly line balancing problem; Algorithm design and analysis; Assembly; Equations; Heuristic algorithms; Mathematical model; Optimization; Workstations; Ant Colony Optimization Algorithm; Assembly Line Balancing; Mixed-model Assembly Line;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
  • Conference_Location
    Changchun
  • Print_ISBN
    978-1-61284-446-6
  • Type

    conf

  • DOI
    10.1109/ICIEEM.2011.6035302
  • Filename
    6035302