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3716. Optimal Replacement of Mission-Based Systems with Partially Observable Degradation Levels
Invited abstract in session WD-39: Analysis of Stochastic Models II, stream Stochastic Modelling.
Wednesday, 14:30-16:00Room: 35 (building: 306)
Authors (first author is the speaker)
| 1. | Bora Cekyay
|
| Industrial Engineering, Yildiz Technical University | |
| 2. | Suleyman Ozekici
|
| Department of Industrial Engineering, Koç University |
Abstract
We consider an optimal replacement problem for a mission-based system with partially observable degradation levels, where a mission process modulates the system's degradation process. The system is partially observed at predetermined time points, where perfect information related to the mission process (fully observable) is obtained, and only partial information related to the system's degradation level (partially observable) is obtained. We formulate the optimal replacement problem as a partially observable Markov decision process to minimize the long-run expected total discounted cost. We provide sufficient conditions to guarantee a control-limit type optimal replacement policy.
Keywords
- Stochastic Models
- Stochastic Optimization
Status: accepted
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