• DocumentCode
    3228997
  • Title

    Multi-objective disassembly line balancing via modified ant colony optimization algorithm

  • Author

    Ding, Liping ; Chen, Wenliang ; Tan, Jianrong ; Feng, Yixiong

  • Author_Institution
    Dept. of Mech. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2010
  • fDate
    23-26 Sept. 2010
  • Firstpage
    426
  • Lastpage
    430
  • Abstract
    The present article focuses on the application of a procedure based on ant colonies to solve disassembly line balancing problem. Firstly, the problem under study is proposed with the objective functions of line idle rate, workload smoothness and disassembly cost. Subsequently, the multi-objective optimization mathematical model of disassembly line balancing is formulated based on the proposed functions of the three objectives. Then, combining characteristics of disassembly line balancing problem, an improved multi-objective ant colony algorithm based on Pareto set is developed to optimize the optimization model. Finally, a practical case is provided to illustrate the proposed model and algorithm.
  • Keywords
    Pareto optimisation; assembling; costing; optimisation; productivity; Pareto set; ant colony optimization algorithm; disassembly cost; multiobjective disassembly line balancing; objective functions; optimization model; workload smoothness; Production; Pareto filtering; ant colony; disassembly line balancing; multi-objective optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bio-Inspired Computing: Theories and Applications (BIC-TA), 2010 IEEE Fifth International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-6437-1
  • Type

    conf

  • DOI
    10.1109/BICTA.2010.5645162
  • Filename
    5645162