• DocumentCode
    3198781
  • Title

    Heuristic approaches to solve the U-shaped line balancing problem augmented by genetic algorithms

  • Author

    Martinez, Ulises ; Duff, William S.

  • Author_Institution
    Dept. of Mech. Eng., Colorado State Univ., Fort Collins, CO
  • fYear
    2004
  • fDate
    16-16 April 2004
  • Firstpage
    287
  • Lastpage
    293
  • Abstract
    U-shaped production line can be described as a special type of cellular manufacturing used in just-in-time (JIT) and lean manufacturing. The U-line arranges machines around a U-shaped line in the order in which production operations are performed. Operators work inside the U-line. We address the Type 1 U-LBP using heuristic rules adapted from the simple LBP. Then these heuristic approaches are compared with the optimal solutions obtained from the previous published research work. Finally the heuristic rules are used as genes to find optimal or near optimal solutions using a genetic algorithm adapted from the simple LBP genetic algorithm proposed by Ponnam-balam, Aravindan, and Mogilesswar (2000). The results showed that some very simple heuristic rules produced optimal or near optimal solutions. Then with the simple implementation of a genetic algorithm it is possible to some times obtain optimal solutions in the first iteration
  • Keywords
    cellular manufacturing; genetic algorithms; just-in-time; lean production; U-shaped line balancing problem; cellular manufacturing; genetic algorithm; heuristic approach; just-in-time; lean manufacturing; optimal solution; Assembly; Cellular manufacturing; Costs; Educational institutions; Genetic algorithms; Lean production; Marketing and sales; Mechanical engineering; Production systems; Workstations;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems and Information Engineering Design Symposium, 2004. Proceedings of the 2004 IEEE
  • Conference_Location
    Charlottesville, VA
  • Print_ISBN
    0-9744559-2-X
  • Type

    conf

  • DOI
    10.1109/SIEDS.2004.239976
  • Filename
    1314693