Maintenance cycle optimisation of multi-component systems under the constraints of overall cost and reliability
by Hong Xiao; Rongyue Zhang; Zhigang Chen; Yingshuang Liu; Yubin Zhou
International Journal of Embedded Systems (IJES), Vol. 13, No. 2, 2020

Abstract: Periodic maintenance inevitably leads to 'over-maintenance' or 'non-timely maintenance' of equipment or systems. To improve reliability and reduce maintenance cost, this paper presents a dynamic maintenance cycle optimisation model for multi-component systems. In this paper, the influence of different maintenance intervals on system reliability and total maintenance cost is determined under the conditions that the system has a limited service time and the components are not fully maintained. The model uses the optimisation of system maintenance cost as the objective function to determine the optimal preventive maintenance times and maintenance intervals under the constraint of the lowest reliability of the system. The simulation results of the final example verify that the proposed method can significantly improve the maintenance cost, system reliability, and reliability fluctuation stability. And it can be used to guide subway maintenance cycle optimisation.

Online publication date: Wed, 05-Aug-2020

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 Embedded Systems (IJES):
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