A review on maintenance optimization
To this day, continuous developments of technical systems and increasing reliance on
equipment have resulted in a growing importance of effective maintenance activities. During …
equipment have resulted in a growing importance of effective maintenance activities. During …
A review on condition-based maintenance optimization models for stochastically deteriorating system
Condition-based maintenance (CBM) is a maintenance strategy that collects and assesses
real-time information, and recommends maintenance decisions based on the current …
real-time information, and recommends maintenance decisions based on the current …
A review of data-driven decision-making methods for industry 4.0 maintenance applications
Decision-making for manufacturing and maintenance operations is benefiting from the
advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze …
advanced sensor infrastructure of Industry 4.0, enabling the use of algorithms that analyze …
Condition-based maintenance policies for systems with multiple dependent components: A review
Condition-based maintenance (CBM) has received increasing attention in the literature over
the past years. The application of CBM in practice, however, is lagging behind. This is, at …
the past years. The application of CBM in practice, however, is lagging behind. This is, at …
Joint optimization of condition-based maintenance and spares inventory for a series–parallel system with two failure modes
J Zhang, X Zhao, Y Song, Q Qiu - Computers & Industrial Engineering, 2022 - Elsevier
In the field of industrial engineering, the joint optimization of maintenance and spares
inventory has attracted more and more attention because it can better balance system …
inventory has attracted more and more attention because it can better balance system …
A finite-horizon condition-based maintenance policy for a two-unit system with dependent degradation processes
This paper analyzes a condition-based maintenance (CBM) model for a system with two
heterogeneous components in which degradation follows a bivariate gamma process …
heterogeneous components in which degradation follows a bivariate gamma process …
[HTML][HTML] A condition-based maintenance policy for multi-component systems subject to stochastic and economic dependencies
Y Wang, X Li, J Chen, Y Liu - Reliability Engineering & System Safety, 2022 - Elsevier
Condition-based maintenance (CBM) optimization utilizing prognostic information and
methods for complex systems has attracted increasing attention. This paper presents a bi …
methods for complex systems has attracted increasing attention. This paper presents a bi …
Generalized condition-based maintenance optimization for multi-component systems considering stochastic dependency and imperfect maintenance
With the development of sensor and communication technology, condition-based
maintenance (CBM) attracts increasing attention, especially for multi-component systems …
maintenance (CBM) attracts increasing attention, especially for multi-component systems …
Maintenance optimisation of multicomponent systems using hierarchical coordinated reinforcement learning
Y Zhou, B Li, TR Lin - Reliability Engineering & System Safety, 2022 - Elsevier
The Markov decision process (MDP) is a widely used method to optimise the maintenance of
multicomponent systems, which can provide a system-level maintenance action at each …
multicomponent systems, which can provide a system-level maintenance action at each …
Managing component degradation in series systems for balancing degradation through reallocation and maintenance
In a physical system, components are usually installed in fixed positions that are known as
operating slots. Due to such reasons as user behavior and imbalanced workload, a …
operating slots. Due to such reasons as user behavior and imbalanced workload, a …