• DocumentCode
    1909499
  • Title

    Generating dispatching rules for semiconductor manufacturing to minimize weighted tardiness

  • Author

    Pickardt, Christoph ; Branke, Jurgen ; Hildebrandt, Torsten ; Heger, Jens ; Scholz-Reiter, Bernd

  • Author_Institution
    Warwick Bus. Sch., Univ. of Warwick, Coventry, UK
  • fYear
    2010
  • fDate
    5-8 Dec. 2010
  • Firstpage
    2504
  • Lastpage
    2515
  • Abstract
    Dispatching rules play an important role especially in semiconductor manufacturing scheduling, because these fabrication facilities are characterized by high complexity and dynamics. The process of developing and adapting dispatching rules is currently a tedious, largely manual task. Coupling Genetic Programming (GP), a global optimization meta-heuristic from the family of Evolutionary Algorithms, with a stochastic discrete event simulation of a complex manufacturing system we are able to automatically generate dispatching rules for a scenario from semiconductor manufacturing. Evolved dispatching rules clearly outperform manually developed rules from literature.
  • Keywords
    discrete event simulation; dispatching; genetic algorithms; minimisation; scheduling; semiconductor industry; complex manufacturing system; dispatching rule generation; evolutionary algorithms; fabrication facilities; genetic programming; semiconductor manufacturing scheduling; stochastic discrete event simulation; weighted tardiness minimzation; Computational modeling; Dispatching; Genetic programming; Job shop scheduling; Manufacturing; Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2010 Winter
  • Conference_Location
    Baltimore, MD
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4244-9866-6
  • Type

    conf

  • DOI
    10.1109/WSC.2010.5678946
  • Filename
    5678946