IDEAS home Printed from https://ideas.repec.org/a/sae/risrel/v224y2010i3p137-147.html
   My bibliography  Save this article

New decision support system based on operational risk assessment to improve aircraft operability

Author

Listed:
  • A Arnaiz
  • S Ferreiro
  • M Buderath

Abstract

This paper details a new decision support that adds a proactive function to the actual line aircraft maintenance turn-around-time (TAT) process, where next-flight decisions are assisted by the health assessment function of the integrated vehicle health management (IVHM) of an aircraft. The ‘operational risk assessment’ concept appears an extended function supported on the IVHM information for calculating and evaluating the operational risk for aircraft and fleet operations. It creates or reshapes maintenance plans based on predictions of the future maintenance relevant events (e.g. component-degradation-driven repair or replacement events) and its impact on the operational planning of the aircraft/fleet. ‘Operational risk assessment’ makes it possible to turn the scheduled line maintenance into a proactively defined maintenance. The paper also illustrates the first step involved in this approach: ‘condition view’ function, which is responsible for the provision of the remaining useful life (RUL) prediction of a health managed component. This function provides the basis for the operational risk estimation on the aircraft in order to identify maintenance actions that can be deferred.

Suggested Citation

  • A Arnaiz & S Ferreiro & M Buderath, 2010. "New decision support system based on operational risk assessment to improve aircraft operability," Journal of Risk and Reliability, , vol. 224(3), pages 137-147, September.
  • Handle: RePEc:sae:risrel:v:224:y:2010:i:3:p:137-147
    DOI: 10.1243/1748006XJRR282
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1243/1748006XJRR282
    Download Restriction: no

    File URL: https://libkey.io/10.1243/1748006XJRR282?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. González, Esteban Le Maitre & Desforges, Xavier & Archimède, Bernard, 2018. "Assessment method of the multicomponent systems future ability to achieve productive tasks from local prognoses," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 403-415.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:risrel:v:224:y:2010:i:3:p:137-147. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.