International Society of Science and Applied Technologies |
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Analysis of a POMDP model for an Optimal Maintenance Problem with Multiple Imperfect Repairs | ||||
Author | Nobuyuki Tamura
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Abstract | We consider a system whose deterioration follows a discrete-time and discrete-state Markov chain with an absorbing state. When the system is put into practice, we may select operation, repair, or replacement. The true state of the system is not known when it is operated. Instead, the system is monitored after operation and some incomplete information concerned with the deterioration is obtained for decision making. Since there are multiple imperfect repairs, we can select one option from them. For the system, we propose a POMDP model and theoretically investigate structure of the optimal maintenance policy minimizing the total expected discounted cost for unbounded horizon.
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Keywords | partially observable Markov decision process, stochastic order, monotone property, imperfect repair, optimal maintenance policy | |||
Article #: RQD26-220 |
Proceedings of 26th ISSAT International Conference on Reliability & Quality in Design |