Maintenance optimization in a digital twin for industry 4.0
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Publication:6601572
DOI10.1007/s10479-022-05089-1MaRDI QIDQ6601572
Publication date: 10 September 2024
Published in: Annals of Operations Research (Search for Journal in Brave)
Reliability, availability, maintenance, inspection in operations research (90B25) Markov and semi-Markov decision processes (90C40)
Cites Work
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- A policy gradient method for semi-Markov decision processes with application to call admission control
- An integrated production and preventive maintenance planning model
- Stochastic approximation methods for constrained and unconstrained systems
- Maintenance optimization of a production system with buffer capacity
- Analysis of a production/inventory system with randomly failing production unit submitted to regular preventive maintenance
- A performance-centred approach to optimising maintenance of complex systems
- Simulation-based optimization. Parametric optimization techniques and reinforcement learning
- Dynamic programming, Markov chains, and the method of successive approximations
- Reliability and optimal maintenance.
- A risk-sensitive approach to total productive maintenance
- Iterative solution of the functional equations of undiscounted Markov renewal programming
- Optimal preventive maintenance of a production system with an intermediate buffer
- Look-ahead control of conveyor-serviced production station by using potential-based online policy iteration
- Technical Note—Improved Conditions for Convergence in Undiscounted Markov Renewal Programming
- On Linear Programming in a Markov Decision Problem
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