Optimizing Opportunistic Maintenance by Using a Semi-Markov Decision Process-Reference-Cited by-同舟云学术

Optimizing Opportunistic Maintenance by Using a Semi-Markov Decision Process

Published:2021-10-14 Issue:3 Volume:6 Page:91-103
ISSN:2189-3195
Container-title:Total Quality Science
language:en
Short-container-title:TQS

Author:

Odajima Yu¹,Lu Jin¹

Affiliation:

1. Department of Informatics, University of Electro-Communications

Publisher

The Japanese Society for Quality Control

Link

https://www.jstage.jst.go.jp/article/tqs/6/3/6_91/_pdf

Reference14 articles.

1. 1 C. Derman (1963): “On optimal replacement rules when changes of state are Markovian,” Mathematical Optimization Techniques, University of California Press, Berkeley, CA, pp. 201–210.

2. 2 C. Drent, S. Kapodistria, J. A. C. Resing (2019), “Condition-based maintenance policies under imperfect maintenance at scheduled and unscheduled opportunities,” Queueing Systems, Vol. 93, pp. 269-308.

3. 3 A. V. Horenbeek, L. Pintelon (2013): “A dynamic predictive maintenance policy for complex multi component systems,” Reliability Engineering and System Safety, Vol. 120, pp. 39–50.

4. 4 Q. Hu, W. Yue (2003): “Optimal replacement of a system according to a semi-Markov decision process in a semi-Markov environment,” Optimization Methods and Software, Vol. 18, pp. 181–196.

5. 5 L. Jin, K. Miyawaki, K. Suzuki (2013): “Optimal maintenance policy for partially observable Markovian deteriorating system subject to a restorable varying environment,” Journal of Reliability Engineering Association of Japan, Vol. 35, pp. 177–187.

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