A probabilistic model for maintaining and optimising the life-cycle performance of deteriorating structures
by Reza Ahmadi
International Journal of Operational Research (IJOR), Vol. 33, No. 2, 2018

Abstract: Benefiting from a devised imperfect repair model and given a cost structure, this paper addresses the problem of determining an optimal inspection and threshold-type repair policy for systems whose performance is described by a Wiener process. The system is monitored at periodic times and preventive maintenance actions are carried out in response to the observed system state. The approach can deal with failures defined by performance or regulations. Precisely speaking, failure is defined by a critical set such that the first entry of the performance process to the critical set implies system failure. This approach is typically appropriate for lifecycle models as a specific performance requirement is, or is close to being violated. Since there is a random amount of maintenance, and on the other hand each maintenance incurs a cost, using the renewal-reward theorem, this paper aims at joint determination of an optimal inspection and repair policy providing a right balance between the amount of maintenance and the increasing cost. Benefiting from an imperfect repair model, the presented probabilistic model provides a framework for further developments.

Online publication date: Tue, 25-Sep-2018

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Operational Research (IJOR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com