• DocumentCode
    3136248
  • Title

    Armored materiel storage variety optimization based on GA-AHP

  • Author

    Qingling, Lu ; Mengliang, Bai ; Xinyang, Zhang ; Enjie, Lian

  • Author_Institution
    Dept. of Tech. Support Eng., Acad. of Armored Forces Eng., Beijing, China
  • Volume
    2
  • fYear
    2011
  • fDate
    25-28 July 2011
  • Firstpage
    870
  • Lastpage
    873
  • Abstract
    The optimization of armored materiel storage variety is studied in this paper. The basic principle of GA-AHP is introduced, the influence factor of the materiel variety is analyzed and materiel variety index system is set up. According to the system, materiel variety optimization process based on GA-AHP is constructed. At last, take electricity system of an armored vehicle as an example, study materiel storage variety optimization. It has an important theoretical meaning to materiel storage rationally.
  • Keywords
    decision making; genetic algorithms; military vehicles; storage; GA-AHP; analytic hierarchy processing; armored materiel storage variety; armored vehicle electricity system; genetic algorithm; Concrete; Electricity; Indexes; Maintenance engineering; Material storage; Optimization; Vehicles;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Information Processing (ICICIP), 2011 2nd International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4577-0813-8
  • Type

    conf

  • DOI
    10.1109/ICICIP.2011.6008373
  • Filename
    6008373