• DocumentCode
    438888
  • Title

    Research on optimization method for hybrid assembly line design

  • Author

    Yong-Fa, Qin ; Ming-yang, Zhao

  • Author_Institution
    Shenyang Inst. of Autom., Chinese Acad. of Sci., Shenyang, China
  • Volume
    1
  • fYear
    2004
  • fDate
    6-9 Dec. 2004
  • Firstpage
    509
  • Abstract
    In a dynamical manufacturing environment hybrid assembly line is used widely because of its flexibility and reconfigurability. Hybrid assembly line design problem is more difficult and complex than ordinary simple line design problems. On the basis of modeling the hybrid assembly line design problem and design objectives, an intelligent multiobjective optimization algorithm is proposed. Some essential problems such as the algorithm flowchart, chromosomes encoding, algorithm operators, chromosomes amending, and a kind of Pareto-based multiobjective tackling mechanism are described. A numerical example shows that the proposed method is capable of deal with the constrained multiobjective optimization problem of hybrid assembly line design.
  • Keywords
    Pareto optimisation; assembling; flowcharting; genetic algorithms; process design; simulated annealing; algorithm flowchart; algorithm operators; chromosomes amending; chromosomes encoding; dynamical manufacturing environment; hybrid assembly line design; multiobjective optimization; Algorithm design and analysis; Biological cells; Constraint optimization; Decision making; Design optimization; Educational institutions; Genetic algorithms; Manufacturing automation; Optimization methods; Robotic assembly;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
  • Print_ISBN
    0-7803-8653-1
  • Type

    conf

  • DOI
    10.1109/ICARCV.2004.1468878
  • Filename
    1468878