[HTML][HTML] Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework

F Psarommatis, G May, V Azamfirei - Journal of Manufacturing Systems, 2023 - Elsevier
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 …

A survey on decision-making based on system reliability in the context of Industry 4.0

MLH Souza, CA da Costa, G de Oliveira Ramos… - Journal of Manufacturing …, 2020 - Elsevier
The business world is continually changing. Dynamic environments, full of uncertainties,
complexities, and ambiguities, demand faster and more confident decisions. To compete in …

Opportunistic maintenance scheduling with deep reinforcement learning

A Valet, T Altenmüller, B Waschneck, MC May… - Journal of Manufacturing …, 2022 - Elsevier
The great complexity of advanced manufacturing processes combined with the high
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

Z Wei, Z Zhao, Z Zhou, J Ren, Y Tang, R Yan - Journal of Manufacturing …, 2024 - Elsevier
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 …

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) …

Analysis of a production line subject to degradation and preventive maintenance

S Wei, M Nourelfath, N Nahas - Reliability Engineering & System Safety, 2023 - Elsevier
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 …

[HTML][HTML] Deep reinforcement learning for optimal planning of assembly line maintenance

M Geurtsen, I Adan, Z Atan - Journal of Manufacturing Systems, 2023 - Elsevier
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 …

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 …

Modeling and optimizing the maintenance schedule using dynamic quality and machine condition monitors in an unreliable single production system

Z Boumallessa, H Chouikhi, M Elleuch… - Reliability Engineering & …, 2023 - Elsevier
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 …

[HTML][HTML] Condition based maintenance of the two-beam laser welding in high volume manufacturing of piezoelectric pressure sensor

M Kenda, D Klobčar, D Bračun - Journal of Manufacturing Systems, 2021 - Elsevier
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 …