• DocumentCode
    2222863
  • Title

    Process sequence optimization based on constraint matrix

  • Author

    Hu, Y.J. ; Zhang, Z.Y. ; Ling, L. ; Wang, X.L. ; Huang, W.J.

  • Author_Institution
    Coll. of Mech. Sci. & Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    349
  • Lastpage
    353
  • Abstract
    The sequence of manufacturing process should meet process constraints during the process planning optimization. The qualitative constraints are represented implicitly as geometry relationships, process rules and manufacturing environment, it is difficult to apply in the process optimization. A constraint matrix is established to express process constraints; transfer rules and regulation are also designed to ensure the reliability and the veracity when the qualitative constraint message is transferred into matrix. Based on constraint matrix, a process sequence optimization model is set up and genetic algorithm is used to obtain the optimal process sequence. An example is presented to indicate that the constraint matrix not only ensure the process optimization¿s veracity but also enhance the performance efficiency.
  • Keywords
    genetic algorithms; manufacturing processes; process planning; constraint matrix; genetic algorithm; geometry relationships; manufacturing environment; manufacturing process; optimal process sequence; process optimization; process planning optimization; process rules; process sequence optimization; qualitative constraint message; qualitative constraints; Constraint optimization; Educational institutions; Genetic algorithms; Manufacturing processes; Matrix decomposition; Milling; Optimization methods; Process planning; Pulp manufacturing; Virtual manufacturing; constraint check; constraint matrix; process constraint; process planning optimization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737889
  • Filename
    4737889