• DocumentCode
    3274262
  • Title

    An analytical approach to Low Observable maintenance practices using simulation and marginal analysis

  • Author

    Ysebaert, Stephanie C. ; Johnson, Alan W. ; Miller, John O. ; Pettit, Timothy J.

  • Author_Institution
    Dept. of Operational Sci., Air Force Inst. of Technol., Wright-Patterson AFB, OH, USA
  • fYear
    2011
  • fDate
    11-14 Dec. 2011
  • Firstpage
    2525
  • Lastpage
    2534
  • Abstract
    The F-22 Raptor is a unique aircraft with many technological advantages and superior capabilities. The aircraft´s stealth capability is a function of many design aspects, including coatings that cover the outside of the aircraft and help mitigate radar detection. Maintaining these Low Observable coatings has its own set of challenges to include an inexperienced work force, time consuming procedures, and demanding maneuvers of a fifth generation fighter aircraft. Another challenge facing the F-22 fleet is low aircraft availability, where the aircraft is down for numerous reasons. Using a simulation built in ARENA, process improvements to Low Observable maintenance can be quantified with a goal of improving aircraft availability. One example of process improvements, the use of extra stock panels is tested in the simulation to see the potential marginal improvement to Aircraft Availability.
  • Keywords
    aerospace simulation; aircraft maintenance; design engineering; military aircraft; protective coatings; radar detection; ARENA; F-22 Raptor; F-22 fleet; aircraft availability; aircraft stealth capability; design aspect; fifth generation fighter aircraft; low observable coating; low observable maintenance; process improvement; radar detection; Aircraft; Analytical models; Atmospheric modeling; Availability; Maintenance engineering; Mathematical model; Military aircraft;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Simulation Conference (WSC), Proceedings of the 2011 Winter
  • Conference_Location
    Phoenix, AZ
  • ISSN
    0891-7736
  • Print_ISBN
    978-1-4577-2108-3
  • Electronic_ISBN
    0891-7736
  • Type

    conf

  • DOI
    10.1109/WSC.2011.6147961
  • Filename
    6147961