• DocumentCode
    2608678
  • Title

    Study on Information Management Optimization for CAPP by GA

  • Author

    Sun Wei ; Li baodong

  • Author_Institution
    Dept. of Mech. Eng., Lanzhou Polytech. Coll., Lanzhou, China
  • Volume
    4
  • fYear
    2009
  • fDate
    21-22 May 2009
  • Firstpage
    128
  • Lastpage
    130
  • Abstract
    The development of the CAPP system based on the PDM system and explores some key technologies of the system integration about CAPP/PDM and CAD/CAPP. With the rapid development of theory, method and technology about PDM, this paper firstly takes an in-depth study on implemental method and relative technology about PDM being the framework of CAPP to support the integration of information. In order to obtain a reasonable information management quickly and economically, this paper brings forward the resolving scheme using GA (genetic algorithm) to achieve the information management optimization of process planning. In the research of project, we havenpsilat completed the coding of all information of product for the time is very limit, but the methods are viable and effective through simple calculation. Adopting the calculate method, the information is managed effective through this method.
  • Keywords
    computer aided production planning; genetic algorithms; information management; process planning; CAD/CAPP; CAPP/PDM; computer aided design; computer aided process planning; genetic algorithm; information management optimization; product data management; Clamps; Educational institutions; Engineering drawings; Forward contracts; Genetic algorithms; Information management; Mechanical engineering; Product design; Project management; Sun; CAPP; GA; Information Management Optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Computing Science, 2009. ICIC '09. Second International Conference on
  • Conference_Location
    Manchester
  • Print_ISBN
    978-0-7695-3634-7
  • Type

    conf

  • DOI
    10.1109/ICIC.2009.342
  • Filename
    5169142