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[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework
To provide direction and advice for future research on Industry 4.0 maintenance, we
conducted a comprehensive analysis of 344 eligible journal papers published between …
conducted a comprehensive analysis of 344 eligible journal papers published between …
A survey on decision-making based on system reliability in the context of Industry 4.0
The business world is continually changing. Dynamic environments, full of uncertainties,
complexities, and ambiguities, demand faster and more confident decisions. To compete in …
complexities, and ambiguities, demand faster and more confident decisions. To compete in …
Opportunistic maintenance scheduling with deep reinforcement learning
The great complexity of advanced manufacturing processes combined with the high
investment costs for manufacturing equipment makes the integration of maintenance …
investment costs for manufacturing equipment makes the integration of maintenance …
A deep reinforcement learning-driven multi-objective optimization and its applications on aero-engine maintenance strategy
Efficiently optimizing maintenance strategies is vital for the cost reduction of complex
equipment. Most of the current research in this domain primarily focuses on single-objective …
equipment. Most of the current research in this domain primarily focuses on single-objective …
Membership-function-dependent design of quantized fuzzy sampled-data controller for semi-Markovian jump systems with actuator faults
RV Aravind, P Balasubramaniam - IEEE Transactions on Fuzzy …, 2022 - ieeexplore.ieee.org
This article concerns a fuzzy sampled-data controller for nonlinear semi-Markovian jump
systems (SMJS) via the fuzzy dependent stochastic looped-Lyapunov functional (FSLF) …
systems (SMJS) via the fuzzy dependent stochastic looped-Lyapunov functional (FSLF) …
Analysis of a production line subject to degradation and preventive maintenance
This paper considers a continuous flow manufacturing system with two machines subjected
to condition-based preventive maintenance, and separated by an intermediate buffer of finite …
to condition-based preventive maintenance, and separated by an intermediate buffer of finite …
[HTML][HTML] Deep reinforcement learning for optimal planning of assembly line maintenance
Discovering the optimal maintenance planning strategy can have a substantial impact on
production efficiency, yet this aspect is often overlooked in favor of production planning. This …
production efficiency, yet this aspect is often overlooked in favor of production planning. This …
Evaluation methodology for preventive maintenance in multi-state manufacturing systems considering different costs
H Dui, X Yang, Y Fang - International Journal of Production …, 2023 - Taylor & Francis
In a multi-state manufacturing system, preventive maintenance is performed on other
machines once the performance of a machine falls below a threshold state. Many …
machines once the performance of a machine falls below a threshold state. Many …
Modeling and optimizing the maintenance schedule using dynamic quality and machine condition monitors in an unreliable single production system
This work attempted to propose an integrated approach for the joint control of production,
quality and maintenance where a single machine would produce one type of product. The …
quality and maintenance where a single machine would produce one type of product. The …
[HTML][HTML] Condition based maintenance of the two-beam laser welding in high volume manufacturing of piezoelectric pressure sensor
Two-beam laser welding (TBLW) is an advanced process for precise, low distortion joining
of cylindrical miniature parts. The process is composed of a laser source, optics and various …
of cylindrical miniature parts. The process is composed of a laser source, optics and various …