Challenges in predictive maintenance–A review
Predictive maintenance (PdM) aims the reduction of costs to increase the competitive
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
strength of the enterprises. It uses sensor data together with analytics techniques to optimize …
State of the art in simulation-based optimisation for maintenance systems
A Alrabghi, A Tiwari - Computers & Industrial Engineering, 2015 - Elsevier
Recently, more attention has been directed towards improving and optimising maintenance
in manufacturing systems using simulation. This paper aims to report the state of the art in …
in manufacturing systems using simulation. This paper aims to report the state of the art in …
Deep reinforcement learning based preventive maintenance policy for serial production lines
In the manufacturing industry, the preventive maintenance (PM) is a common practice to
reduce random machine failures by replacing/repairing the aged machines or parts. The …
reduce random machine failures by replacing/repairing the aged machines or parts. The …
Deep multi-agent reinforcement learning for multi-level preventive maintenance in manufacturing systems
Designing preventive maintenance (PM) policies that ensure smooth and efficient
production for large-scale manufacturing systems is non-trivial. Recent model-free …
production for large-scale manufacturing systems is non-trivial. Recent model-free …
A new paradigm of cloud-based predictive maintenance for intelligent manufacturing
J Wang, L Zhang, L Duan, RX Gao - Journal of Intelligent Manufacturing, 2017 - Springer
Advances in cloud computing reshape the manufacturing industry into dynamically scalable,
on-demand service oriented, and highly distributed cost-efficient business model. However it …
on-demand service oriented, and highly distributed cost-efficient business model. However it …
Condition-based maintenance strategy for redundant systems with arbitrary structures using improved reinforcement learning
A Yang, Q Qiu, M Zhu, L Cui, W Chen, J Chen - Reliability Engineering & …, 2022 - Elsevier
The condition-based maintenance (CBM) decision-making for redundant systems has
attracted increasing attention. Most existing studies are dedicated to k-out-of-n redundant …
attracted increasing attention. Most existing studies are dedicated to k-out-of-n redundant …
A joint optimization of strategic workforce planning and preventive maintenance scheduling: a simulation–Optimization approach
AM Akl, S El Sawah, RK Chakrabortty… - Reliability Engineering & …, 2022 - Elsevier
This paper proposes a Simulation–Optimization framework, where a maintenance system of
high-value assets is modelled via a novel large-scale Discrete Event Simulation model. In …
high-value assets is modelled via a novel large-scale Discrete Event Simulation model. In …
Hybrid MCDM based methodology for selecting the optimum maintenance strategy for ship machinery systems
The key to achieving optimum ship system reliability and safety is to have a sound
maintenance management system in place for mitigating or eliminating …
maintenance management system in place for mitigating or eliminating …
A novel approach for modelling complex maintenance systems using discrete event simulation
A Alrabghi, A Tiwari - Reliability Engineering & System Safety, 2016 - Elsevier
Existing approaches for modelling maintenance rely on oversimplified assumptions which
prevent them from reflecting the complexity found in industrial systems. In this paper, we …
prevent them from reflecting the complexity found in industrial systems. In this paper, we …
An integrated control strategy for simultaneous robot assignment, tool change and preventive maintenance scheduling using Heterogeneous Graph Neural Network
There has been a leap in the field of smart manufacturing with the advancement of
automation systems, robotic technology, big data analytics, and state-of-the-art Artificial …
automation systems, robotic technology, big data analytics, and state-of-the-art Artificial …