IDEAS home Printed from https://ideas.repec.org/a/eee/reensy/v250y2024ics0951832024003648.html
   My bibliography  Save this article

Adaptive maintenance window-based opportunistic maintenance optimization considering operational reliability and cost

Author

Listed:
  • Lu, Yaohui
  • Wang, Shaoping
  • Zhang, Chao
  • Chen, Rentong
  • Dui, Hongyan
  • Mu, Rui

Abstract

Opportunistic maintenance (OM) reduces maintenance costs by combining the maintenance of multiple components. It has recently been widely used in complex systems. However, few studies have considered that advance maintenance results in the insufficient utilization of reliability. Besides, the applicable conditions for advance and postpone maintenance are ignored in existing literature. In this paper, the economic benefits and failure risk of advance and postpone maintenance are evaluated to fully utilize component's reliability. In addition, all maintenance types (preventive maintenance, corrective maintenance, and replacement) and programs (advance and postpone maintenance) for critical components and non-critical components are discussed based on the degree of overlap of the components’ maintenance windows. Then, an operational reliability (OR) model based on system availability is established to reflect the operating state of the system under damage and maintenance. In order to maximize OR and minimize maintenance costs, a multi-objective optimization model for an OM strategy based on adaptive maintenance window is proposed. Finally, a case study of a propeller aircraft system is conducted to verify the proposed model. It proves superior to the traditional OM and other models in terms of cost and OR.

Suggested Citation

  • Lu, Yaohui & Wang, Shaoping & Zhang, Chao & Chen, Rentong & Dui, Hongyan & Mu, Rui, 2024. "Adaptive maintenance window-based opportunistic maintenance optimization considering operational reliability and cost," Reliability Engineering and System Safety, Elsevier, vol. 250(C).
  • Handle: RePEc:eee:reensy:v:250:y:2024:i:c:s0951832024003648
    DOI: 10.1016/j.ress.2024.110292
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0951832024003648
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ress.2024.110292?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:eee:reensy:v:250:y:2024:i:c:s0951832024003648. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/reliability-engineering-and-system-safety .

    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.