• DocumentCode
    2702073
  • Title

    Research on mission equipment configuration proportion for small scale cargo transport fleet

  • Author

    Wang, Yuanda ; Zhang, Qian ; Zhao, Zhizhong

  • Author_Institution
    Dept. of Aviation Mech. Eng., Aviation Univ. of Air Force, Changchun, China
  • fYear
    2012
  • fDate
    15-18 June 2012
  • Firstpage
    1234
  • Lastpage
    1236
  • Abstract
    Cargo transport can perform many type missions, such as airlift, airdrop and airborne etc. Each type mission need corresponding cargo configuration by installing mission equipment in the cargo to meet the need of the mission. The configuration proportions of mission equipments must consider the mission capability rate, economy and utilization ratio. The paper take small scale cargo transport fleet as the object, set up a mathematical model based on the optimization principle and boundary conditions, use the linear weighted sum approach to solve the question, give a sensitivity analysis and bias analysis, finally get the best configuration proportion of every mission equipment. This method can solve the mission equipment configuration problem for small scale cargo transport fleet.
  • Keywords
    freight handling; military equipment; optimisation; sensitivity analysis; transportation; bias analysis; boundary conditions; cargo configuration; configuration proportions; economy; linear weighted sum approach; mathematical model; mission capability rate; mission equipment configuration proportion; optimization principle; sensitivity analysis; small scale cargo transport fleet; utilization ratio; Aircraft; Analytical models; Atmospheric modeling; Data models; Mathematical model; Optimization; Sensitivity; configuration proportion; mission equipment; multi-objective optimization; small scale cargo transport fleet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Quality, Reliability, Risk, Maintenance, and Safety Engineering (ICQR2MSE), 2012 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4673-0786-4
  • Type

    conf

  • DOI
    10.1109/ICQR2MSE.2012.6246442
  • Filename
    6246442