• DocumentCode
    1944864
  • Title

    The Research about Integration of Process Planning and Production Scheduling Based on Genetic Algorithm

  • Author

    Zhanjie, Wang ; Ju, Tian

  • Author_Institution
    Dept. of Comput. Eng., Dalian Univ. of Technol., Dalian
  • Volume
    1
  • fYear
    2008
  • fDate
    12-14 Dec. 2008
  • Firstpage
    9
  • Lastpage
    12
  • Abstract
    Lacking of flexibility in the traditional workshop production, a genetic algorithm is proposed to implement the integration of process planning and production scheduling. In order to implement the optimal scheduling of the flexible workshop production, chromosome crossover and mutation are used to select the processing routes and processing machines. Meanwhile, a performance test about the integration of process planning and production scheduling is implemented, and the results shows that the genetic algorithm is efficient to obtain optimal or near optimal process routes which can meet the requirements of production scheduling.
  • Keywords
    flexible manufacturing systems; genetic algorithms; process planning; production planning; scheduling; chromosome crossover; flexible workshop production scheduling; genetic algorithm; mutation; process planning; Computer science; Genetic algorithms; Genetic engineering; Job shop scheduling; Manufacturing processes; Optimal scheduling; Process planning; Processor scheduling; Production systems; Software engineering; Genetic algorithm; integration; process planning; production scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Software Engineering, 2008 International Conference on
  • Conference_Location
    Wuhan, Hubei
  • Print_ISBN
    978-0-7695-3336-0
  • Type

    conf

  • DOI
    10.1109/CSSE.2008.845
  • Filename
    4721678