Joint optimization of ordering and maintenance with condition monitoring data
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Publication:1639231
DOI10.1007/S10479-017-2745-3zbMath1390.90563OpenAlexW2782102620MaRDI QIDQ1639231
Şeyda Ertekin, Ramin Moghaddass
Publication date: 12 June 2018
Published in: Annals of Operations Research (Search for Journal in Brave)
Full work available at URL: https://hdl.handle.net/1721.1/131881
condition monitoringdeteriorating systemspartially observable semi-Markov decision processreal-time analytics
Reliability, availability, maintenance, inspection in operations research (90B25) Markov and semi-Markov decision processes (90C40)
Cites Work
- Unnamed Item
- Hidden semi-Markov model-based methodology for multi-sensor equipment health diagnosis and prognosis
- A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure
- Monotone optimal replacement policies for a Markovian deteriorating system in a controllable environment
- A condition-based order-replacement policy for a single-unit system
- Optimal inspection and replacement policies for multi-state deteriorating systems
- Joint optimization of spare parts ordering and maintenance policies for multiple identical items subject to silent failures
- Joint Optimization of Sampling and Control of Partially Observable Failing Systems
- Optimal replacement times — a general set-up
- Optimal Replacement In The Proportional Hazards Model
- MARKOVIAN DETERIORATION WITH UNCERTAIN INFORMATION — A MORE GENERAL MODEL
- Optimal replacement policies for multistate deteriorating systems
- Real-time health prognosis and dynamic preventive maintenance policy for equipment under aging Markovian deterioration
- Optimal condition based maintenance with imperfect information and the proportional hazards model
- Calculation of reliability function and remaining useful life for a Markov failure time process
- A Control-Limit Policy And Software For Condition-Based Maintenance Optimization
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