Optimal maintenance policies for cumulative damage models with random working times
Journal of Quality in Maintenance Engineering
ISSN: 1355-2511
Article publication date: 22 March 2013
Abstract
Purpose
The purpose of this paper is to consider maintenance policies for an operating system which works at random times for jobs. Each job causes some damage to the system and these damages are additive, and the system fails when the total damage has exceeded a failure level K.
Design/methodology/approach
Using techniques of cumulative damage models, the maintenance is made at the N‐th completion of working time for the first model and at a damage level Z with a limit number of working times N for the second model.
Findings
The system is maintained at the first completion of the working time over time T for the third model. The system fails with probability p(x) when the total damage is x and undergoes minimal repair at failure for the fourth model. The expected cost rates are obtained and optimal maintenance policies are discussed analytically and computed numerically.
Originality/value
The paper discusses four maintenance policies for an operating system which works at successive random times for jobs, where the system fails due to damage that can be additive caused by jobs.
Keywords
Citation
Zhao, X., Nakamura, S. and Nakagawa, T. (2013), "Optimal maintenance policies for cumulative damage models with random working times", Journal of Quality in Maintenance Engineering, Vol. 19 No. 1, pp. 25-37. https://doi.org/10.1108/13552511311304456
Publisher
:Emerald Group Publishing Limited
Copyright © 2013, Emerald Group Publishing Limited