Application of Markov renewal theory and <scp>semi‐Markov</scp> decision processes in maintenance modeling and optimization of multi‐unit systems
From MaRDI portal
Publication:6072165
DOI10.1002/nav.21932zbMath1523.90108OpenAlexW3046948313MaRDI QIDQ6072165
Publication date: 12 October 2023
Published in: Naval Research Logistics (NRL) (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1002/nav.21932
Reliability, availability, maintenance, inspection in operations research (90B25) Dynamic programming (90C39) Markov and semi-Markov decision processes (90C40) Applications of Markov renewal processes (reliability, queueing networks, etc.) (60K20)
Cites Work
- Unnamed Item
- Condition-based maintenance policies for systems with multiple dependent components: a review
- A hybrid condition-based maintenance policy for continuously monitored components with two degradation thresholds
- A Dynamic Programming Algorithm for Embedded Markov Chains when the Planning Horizon is at Infinity
- Monotone optimal preventive maintenance policies for stochastically failing equipment
- Semi-Regenerative Processes with Unbounded Rewards
- An optimal multi-machine replacement policy in a serially dependent production system
- Optimizing usage and maintenance decisions for k‐out‐of‐n systems of moving assets
- A sequential condition‐based repair/replacement policy with non‐periodic inspections for a system subject to continuous wear
- Markov-Renewal Programming. I: Formulation, Finite Return Models
- On the Modelling of Imperfect Repairs for a Continuously Monitored Gamma Wear Process Through Age Reduction
- Optimal joint preventive maintenance and production policies
- Markov renewal theory
- Markov Renewal Processes: Definitions and Preliminary Properties