Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
10419998 | Reliability Engineering & System Safety | 2005 | 5 Pages |
Abstract
The semi-Markov decision model is a powerful tool in analyzing sequential decision processes with random decision epochs. In this paper, we have built the semi-Markov decision process (SMDP) for the maintenance policy optimization of condition-based preventive maintenance problems, and have presented the approach for joint optimization of inspection rate and maintenance policy. Through numerical examples, the improvement of this method is compared with the scheme, which optimizes only over the inspection rate. We also find that under a special case when the deterioration rate at each failure stage is the same, the optimal policy obtained by SMDP algorithm is a dynamic threshold-type scheme with threshold value depending on the inspection rate.
Related Topics
Physical Sciences and Engineering
Engineering
Mechanical Engineering
Authors
Dongyan Chen, Kishor S. Trivedi,