• DocumentCode
    2947832
  • Title

    Operation sequencing using ant colony optimization technique

  • Author

    Jain, P.K. ; Gupta, Vivek Kumar

  • Author_Institution
    Dept. of Mech. & Ind. Eng., Indian Inst. of Technol., Roorkee, India
  • Volume
    1
  • fYear
    2005
  • fDate
    10-12 Oct. 2005
  • Firstpage
    270
  • Abstract
    The operation-sequencing problem in process planning is considered to produce a part with the objective of minimizing the sum of machine, setup and tool change costs. In general, the problem has combinatorial characteristics and complex precedence relations, which makes the problem difficult to solve. In this paper ant colony optimization technique has been used to solve this sequencing problem. Present approach analyses the precedence relationships among features to generate a precedence relationship matrix (PRM).
  • Keywords
    optimisation; process planning; ant colony optimization; operation sequencing; precedence relationship matrix; process planning; Ant colony optimization; Cost function; Cutting tools; Industrial relations; Machinery production industries; Machining; Manufacturing processes; Optimized production technology; Process planning; Simulated annealing; Ant colony optimization; operation sequencing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9298-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2005.1571157
  • Filename
    1571157